How lawyers communicate with clients

In this article we look at how lawyers communicate with clients. We start off with how lawyers communicate with clients using traditional means like phone, mail, and fax. Then we look at more modern electronic ways of communicating like email, client portals, and document sharing.

How lawyers communicate with clients using traditional means

In the past, lawyers mainly communicated with clients using phone, fax, and traditional mail. These days, they still do, but the traditional means have clearly taken a backseat. Interestingly, there are hardly any recent statistics available on how many lawyers still use phone, fax, and traditional mail. Of the three, phone calls still appear the most popular.

Phone

Lawyers still call their clients, and they call each other. One thing that does stand out is that their clients clearly would prefer to get more phone calls. One of the few available statistics is that clients greatly prefer human-to-human interactions like phone calls (62%) when dealing with issues. Instead, what they receive are largely automated emails.

And there is something to be said about relying on phone calls more often. It is usually much easier to talk about complicated matters over the phone than it is through email. It’s also a better way to build rapport with your clients. And often, it’s just easier to have a casual conversation on the phone than through email.

Traditional mail

For a long time, regular mail was the traditional way of sending and receiving documents, letters, and notices. It is still used by some lawyers and clients who prefer a physical copy of their correspondence or who need to comply with certain legal requirements.

But regular mail has clearly lost much of its appeal. This largely has to do with some of its inherent disadvantages. It is slow and unreliable compared to other methods. It can be lost, damaged, or intercepted by unauthorized parties. There typically also are additional costs for postage and printing. And, finally, it can create clutter and wastepaper.

According to a survey conducted by the American Bar Association in 2020, only 9% of lawyers reported using regular mail as their primary method of communication with their clients, while 75% reported using email as their primary method.

Fax

Fax is another traditional way of transmitting documents electronically. It, too, has lost much of its popularity because if its limitations. It requires a fax machine or service that may not be always available or accessible. It can be expensive due to phone charges or subscription fees. Faxes can be low-quality or illegible due to poor resolution or transmission errors. They can be insecure or untraceable due to lack of encryption or confirmation.

According to the same survey by the American Bar Association in 2020, only 4% of lawyers reported using fax as their primary method of communication with their clients.

 

Electronic Communications

Email

These days, email is king. It is the most common way of communicating with clients. It is fast, convenient, and cost-effective. It allows lawyers to send and receive documents, attachments, and messages at any time and from any device. It also enables lawyers to keep a record of their communication history and to organize their inbox using folders and labels.

As mentioned above, in 2020, it was the preferred way of communication of 75% of lawyers. The same survey revealed that 92% of lawyers reported that they had sent confidential or privileged communications/documents via email. Additionally, nearly half of those lawyers (49%) shared that they did so at least once every day. Also worth noting is that 25% of clients prefer emails as the initial method of outreach.

However, email has its own drawbacks. It can be hacked, spoofed, or infected by malware or viruses. It can be misinterpreted or misunderstood due to lack of tone or context. It can be ignored or overlooked due to spam filters or information overload. It can create legal risks if not used properly or securely. It is why that American Bar Association recommended using client portals and/or sharing of documents instead, as they are more secure.

Client portals

Client portals are secure online platforms that allow lawyers and clients to communicate and collaborate on their cases. They offer several benefits over email and fax. They provide a centralized and organized place for storing and accessing documents, messages, calendars, tasks, invoices, and payments. They allow real-time updates and notifications on the status and progress of the case. They enable interactive features such as chat rooms, forums, polls, surveys, or feedback forms. They often allow to generate documents automatically, collecting the necessary data that are available in the portal. They enhance security and privacy by using encryption, authentication, and authorization.

Client portals may have compatibility issues with other software or systems that lawyers or clients use. There may also be legal implications such as ownership, liability, or jurisdiction. Lawyers are therefore recommended to choose a reliable and reputable client portal provider that meets their needs and expectations. They should also educate and train their clients on how to use the portal effectively and efficiently.

Document Sharing

Client portals typically allow document sharing within the portals. But it is also possible to share document without the need for a dedicated legal client portal. These days, cloud technologies allow for the safe sharing of documents. It involves using online tools such as Google Docs, Microsoft SharePoint, or Dropbox Paper that allow multiple users to view, edit, or comment on the same document simultaneously or asynchronously. In a previous article, we explained how Syntex offers exciting new opportunities. So, it is yet another way of communicating and collaborating with clients.

Like client portals, document sharing allows real-time or near-real-time feedback and revisions on the document. It eliminates the need for sending multiple versions or attachments of the document. It preserves the history and track changes of the document. It facilitates teamwork and brainstorming on the document. It is a secure and reliable way to share information between lawyers and their clients. And for those reasons alone already, it is to be preferred over email.

To reap the greatest benefits of document sharing, lawyers should follow some guidelines when sharing documents with comments. They should use clear and constructive comments that are relevant and respectful. Use different colours or symbols to distinguish between different types of comments, such as questions, suggestions, corrections, or approvals. Make sure to acknowledge or address comments. Use lock or protect functions to prevent unauthorized or accidental changes to the document. Finally, use share or invite functions to control who can access or edit the document.

Conclusion

The ways lawyers communicate with their clients has changed dramatically over the last decades. Electronic ways of communicating have clearly taken over. And email has become the predominant way of communicating. But because of its inherent insecurity, client portals and document sharing should be given preference.

 

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The 2024 law firm

Usually, at the beginning of a new year, we look back at the trends in legal technology of the last year. Unfortunately, the reports that are needed to do that are not available yet. So, instead, with Lamiroy Consulting turning 30 in February 2024, we will have a look at the 2024 law firm, and at how law firms have evolved over the last decades. We will discuss a range of topics concerning technology and automation in the 2024 law firm, including artificial intelligence, communications. We will see how the cloud, remote work, and virtual law offices have changed law firms, etc.

Technology and automation in the 2024 law firm

Let us go back in time. The early 80s saw the introduction of the first personal computers and home computers. Word Processors had been around since a few years before that. They were found in only a very small minority of law firms at the time. The Internet as we know it, did not exist yet. By the time 1994 came, things had started to change, and a legal technology revolution was on the horizon. Fast forward to 2024. Law firms that don’t use computers or equivalent mobile devices are an endangered – if not extinct – species. Many operational processes in the law firm have been automated.

So, it is safe to say that over the past decades, technology and automation have transformed the legal industry in many ways. According to a report by The Law Society, some of the factors that have contributed to this transformation include increasing workloads and complexity of work, changing demographic mix of lawyers, and greater client pressure on costs and speed.

Two of the most significant changes has been the introduction of the internet with its cloud technologies and of Artificial Intelligence (AI). Most of the evolutions described below have been made possible by the Internet.

Artificial Intelligence

The introduction of Artificial Intelligence (AI) has been one of the main factors driving a substantial transformation of the legal industry. One of its main benefits has been that it notably improved attorney efficiency. AI plays a key role in tasks such as sophisticated writing, research, and document drafting, significantly expediting processes that traditionally could take weeks.

Communications

Law firms have moved from traditional methods of communication such as snail mail to more modern methods. These include email, client portals, and cloud-based communications, like Teams and SharePoint. They allow people to share documents with different levels of permissions, ranging from reading and commenting to editing.

Client portals have become increasingly popular in recent years, allowing clients to access their legal documents and communicate with their attorneys in real-time. This has made it easier for clients to stay informed about their cases and has improved the efficiency of law firms.

Cloud, Remote work, and Virtual Law Office

The legal industry has experienced a notable surge in remote work and virtual law offices. Much of this has been particularly accelerated by the COVID-19 pandemic. Virtual law offices, facilitated by cloud-based practice management software, offer attorneys the flexibility to work from anywhere, leading to increased flexibility and reduced overhead costs for law firms. The cloud has played a crucial role in this shift. It allows virtual lawyers to run fully functional law firms on any device with significantly lower costs compared to on-premise solutions.

Digital Marketing and Online Presence

The legal industry has also witnessed major changes in its marketing practices over the past decades, adapting to the internet era. Recent studies indicates that one-third of potential clients initiate their search for an attorney online. This emphasizes the importance of a strong online presence for law firms to stay competitive. Law firms now prioritize digital marketing through channels like social media, email, SEO, and websites. Whether marketing the entire firm or individual lawyers, a robust digital strategy is essential for establishing credibility and connecting with potential clients. Personal branding is crucial for individual lawyers, highlighting achievements and values, while law firms should focus on building trust through a comprehensive digital marketing strategy.

Billing and Financial Changes in the 2024 Law Firm

Another area where the legal industry has undergone significant changes is in billing and financial practices. In the past, law firms relied on traditional billing methods such as paper invoices and checks. However, with the advent of technology, law firms have shifted to digital billing methods such as electronic invoices and online payment systems. This has made the billing process more efficient and streamlined. In addition to digital billing methods, law firms have also adopted new financial practices such as trust accounting. Trust accounting is a method of accounting that is used to manage funds that are held in trust for clients. This is particularly important for law firms that handle client funds, such as personal injury or real estate law firms.

Over the last decades, alternative fee arrangements (AFAs) have also significantly impacted the legal industry. They did so by offering pricing models distinct from traditional hourly billing. AFAs, including fixed fees, contingency fees, and blended rates, have gained popularity as clients seek greater transparency and predictability in legal fees. A recent study identified 22 law firms excelling in integrating AFAs into their service delivery, earning praise from clients for improved pricing and value. The study underscores a client preference for firms providing enhanced pricing and value. This emphasizes how AFAs not only contribute to better relationships between law firms and clients but also demonstrate the firms’ commitment, fostering trust and credibility.

Legal Research and Analytics

Legal research and analytics have also been revolutionised over the last decades, making the process more efficient and accessible. We have seen primary and secondary legal research publications become available online. Facilitated by information and communication technologies, this has replaced traditional storage methods like compact discs or print media. This shift has not only increased accessibility but also allowed legal professionals to conduct more comprehensive and accurate research. Furthermore, the emergence of legal analytics has empowered professionals to enhance legal strategy, resource management, and matter forecasting by identifying patterns and trends in legal data.

Client Expectations

Another notable change is that clients’ expectations of lawyers have evolved significantly. A recent survey highlights that 79% of legal clients consider efficiency and productivity crucial, indicating a demand for more effective legal services. Additionally, clients now expect increased accessibility and responsiveness from their lawyers, prompting law firms to integrate new technologies such as client portals and online communication tools. Transparency in fees and billing practices is also a priority for clients, leading to the growing adoption of alternative fee arrangements by law firms. (Cf. above).

Globalization

Finally, globalization has significantly impacted the legal industry. It forced law firms to adapt to a changing global landscape and heightened demand for legal services across borders. Many European law firms, these days, are members of some international legal network, with branches in many EU countries. And a recent study highlights the emergence of a new corporate legal ecosystem in emerging economies like India, Brazil, and China. This presents opportunities for law firms to expand globally. In response to the globalization of business law and the increasing demand from transnational companies, law firms are transforming their practices. They do so by merging across borders and creating mega practices with professionals spanning multiple countries. This shift has prompted the adoption of new managerial practices and strategies to effectively manage global operations within these law firms.

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Microsoft CoPilot for Lawyers

Microsoft has started integrating generative AI in its products and services. In our previous article, we talked about SharePoint Syntex. In this article, we have a look at its much talked about CoPilot. What is CoPilot? What can it do? What are the benefits of CoPilot? And what are the benefits of Microsoft CoPilot for lawyers? Finally, we look at the availability of CoPilot.

What is CoPilot?

Microsoft Copilot is a new AI assistant that can help you with various tasks across Windows, Microsoft 365, Bing, and Edge. It is an AI-powered productivity tool that uses large language models (LLMs) and integrates your data, e.g., with the Microsoft Graph and Microsoft 365 apps and services. It can answer your questions, generate content, suggest actions, and more. Copilot provides real-time intelligent assistance, enabling users to enhance their creativity, productivity, and skills.

CoPilot is not just one product or service, and that has led to some confusion. Microsoft has made different versions of CoPilot available, depending on your needs and preferences. At present, there are three versions that are most relevant.

First, there is CoPilot in Windows. This is the basic version of CoPilot that comes with Windows 11. You can launch it by clicking on its icon on the taskbar or by pressing the Windows logo key + C. CoPilot in Windows can help you with common tasks such as searching the web, organizing your windows, and adjusting your PC settings. You can also ask CoPilot questions and get relevant answers fast. For example, you can ask “What is the capital of South Africa?” and CoPilot will show you the answer along with a map and a link to learn more. CoPilot in Windows is being rolled out gradually and will be available in both Windows 10 and 11.

Next, there is the Microsoft 365 CoPilot. Let me first point out that there is some inconsistency in the use of the name. If you have Microsoft 365, a version of CoPilot will work alongside popular Microsoft 365 apps such as Word, Excel, PowerPoint, Outlook, Teams, and more. But the name is typically used more specifically for the CoPilot version for enterprise users of Microsoft 365. This is the premium version of CoPilot that requires a license for Microsoft 365 E3 or Microsoft 365 E5, and a separate license for Microsoft 365 CoPilot. (Read: you will have to pay extra). You can use the Microsoft 365 CoPilot setup guide in the Microsoft 365 admin centre to assign the required licenses to users. You can use Microsoft 365 CoPilot, e.g., to generate summaries of long documents in Word, create charts from data in Excel, design slides from keywords in PowerPoint, schedule meetings from emails in Outlook, and collaborate with teammates from chats in Teams.

Finally, there is Bing Chat (which was just also renamed to CoPilot): This is an online version of CoPilot that uses Bing as the search engine. You can access Bing Chat by going to bing.com/chat or by clicking on the chat icon on the Bing homepage. “Bing Chat puts the power of AI into your online search”, is how Microsoft puts it.

What can it do?

You can use Bing Chat for various purposes such as travel planning, community organizing, comparison shopping, or anything you search for on the web. You can use Bing Chat, e.g., to find the best deals on flights and hotels, get recommendations for local attractions and restaurants, join or create groups for common interests or causes, compare prices and features of different products or services, or explore any topic you are curious about.

Microsoft 365 Copilot can assist you in creating, editing, and improving your documents, emails, presentations, and more. It can help you write faster, better, and more confidently by generating text, suggesting edits, providing feedback, and offering insights. You can use it to create documents, emails, presentations, reports, blogs, and more. It can suggest content, format, style, and grammar based on your data, the Microsoft Graph, the Microsoft 365 apps, and the web. It can even catch up on email threads by getting a summary of the conversation. It can also answer your questions and provide relevant information from trusted sources.

The latter also applies to Bing Chat and the version of CoPilot that comes with Windows. It is a wide purpose generative AI tool that can answer questions, write texts, program code, etc. It can transcribe meetings and summarize the discussion using simple language. It can generate text and images based on your prompts and topics. It can turn documents into presentations or vice versa.

What are the benefits of CoPilot?

Microsoft identifies several benefits CoPilot offers. It can help you save time and effort by automating tedious tasks and generating content faster. It can assist you in learning new skills and improve your writing by providing feedback and suggestions. It also helps you unleash your creativity and explore new possibilities by offering diverse and relevant ideas.

What are the benefits of Microsoft CoPilot for Lawyers?

More specifically for lawyers, Copilot offers the following benefits. It helps to research legal topics and find relevant information from reliable sources. It assists in drafting contracts, agreements, and other legal documents with accuracy and clarity. And it can help you communicate effectively with clients, colleagues, and judges by using appropriate tone and language.

Availability of CoPilot

There is a lot of uncertainty about the availability of the different versions of CoPilot.

According to Microsoft, Copilot is currently available in the US, the UK, and select countries in Asia and South America. However, due to Europe’s privacy protection laws, Copilot is currently unavailable there. Microsoft aims to expand its availability beyond the initial regions, and is in negotiations with the EU.

Let us first have a look at the availability of CoPilot outside of the EU.

Since Microsoft Copilot will be integrated among different Microsoft products, the release dates differ.

  • Copilot started rolling out on Windows 11 on September 26 through a Windows 11 update.
  • Copilot began rolling out to Bing and Edge about two months ago.
  • Microsoft 365 Copilot began rolling out for enterprise customers on November 1 and will roll out to non-enterprise users at a later date. The enterprise version supports several languages, including English, Spanish, Japanese, French, German, Portuguese, Italian, and Chinese Simplified. More languages are planned to be supported over the first half of 2024.

Within the EU

Officially Microsoft 365 CoPilot for enterprise users is not yet available within the EU. However, several enterprise users who have their information hosted on Microsoft Azure servers within Europe have reported that Microsoft 365 CoPilot for enterprise users is available to them.

Copilot in Windows is in limited preview available in Europe, meaning that it is not fully functional and may have some bugs or errors. Copilot for Sales is also available in preview, meaning that it is still under development and may change over time.

Microsoft has stated that it will comply with both the EU and the UK data protection laws and will ensure that its customers can continue to use its services without disruption. Microsoft has also announced that it will offer a new option for its customers in the EU: the EU Data Boundary. This option will allow customers to choose to have their core customer data stored and processed within the EU only by the end of 2022. This option will cover Microsoft 365 CoPilot as well as other online services.

If you are interested in trying out Copilot in Europe, you may be able to bypass the regional restriction by running `microsoft-edge://?ux=copilot&tcp=1&source=taskbar` in the Run Command box. However, this may not work for all users and may violate the Digital Markets Act that disallows market monopoly. And you do so at your own risk.

 

 

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Microsoft SharePoint Syntex

In this blog post, we will explore Microsoft SharePoint Syntex. We focus on the following questions: What is Microsoft SharePoint Syntex? What can it do? Is Microsoft SharePoint Syntex already available? What are the benefits of Microsoft SharePoint Syntex? And what are the benefits for lawyers?

In the last year, generative AI has been making headlines. (See, e.g., our articles on ChatGPT for lawyers, on Generative AI, and on the dangers of AI). Many software companies have started integrating generative AI into their products and services. Microsoft is no exception. Two of their new generative AI services stand out: CoPilot and SharePoint Syntex. This article is about SharePoint Syntex. Our next article will be about CoPilot.

What is Microsoft SharePoint Syntex?

So, what is Microsoft’s SharePoint Syntex? It is a new product that uses advanced AI and machine teaching to help you capture, manage, and reuse your content more effectively. As the name suggests, it is in essence an add-on feature for SharePoint. (Our blog also has an article on using SharePoint in law firms). Once it is installed, it can be used in some other programs as well. (See below).

Microsoft describes SharePoint Syntex as a content understanding, processing, and compliance service. It uses intelligent document processing, content artificial intelligence (AI), and advanced machine learning. This allows it to automatically and thoughtfully find, organize, and classify documents in your SharePoint libraries, Microsoft Teams, OneDrive for Business, and Exchange. With Syntex, you can automate your content-based processes—capturing the information in your law firm’s documents and transforming that information into working knowledge.

Syntex is the first product from Project Cortex. That is a Microsoft 365 initiative that aims to empower people with knowledge and expertise in the apps they use every day.

What can it do?

Microsoft Syntex offers several services and features to help you enhance the value of your content, build content-centric apps, and manage content at scale. Some of the main services and features are:

Content assembly: You can automatically generate standard repetitive business documents, such as contracts, statements of work, service agreements, letters of consent, and correspondence. You can do all these tasks quicker, more consistently, and with fewer errors in Syntex. You create modern templates based on the documents you use most. You then use those templates to automatically generate new documents using SharePoint lists or user entries as a data source.

Prebuilt document processing: You can use a prebuilt model to save time processing and extracting information from contracts, invoices, or receipts. Prebuilt models are pretrained to recognize common documents and the structured information in the documents. Instead of having to create a new document processing model from scratch, you can use a prebuilt model to jumpstart your document project.

Structured and freeform document processing: You can use a structured model to automatically identify field and table values. It works best for structured or semi-structured documents, such as forms and invoices. You can use a freeform model to automatically extract information from unstructured and freeform documents, such as letters and contracts where the information can appear anywhere in the document. Both structured and freeform models use Microsoft Power Apps AI Builder to create and train models within Syntex.

Content AI: You can understand and gather content with AI-powered summarization, translation, auto-assembly, and annotations incorporated into Microsoft 365 and Teams.

Content apps: You can extend and develop content apps with high-volume containers, data, and rich APIs.

Content management: You can analyse and protect content through its lifecycle with AI powered security and compliance, backup/restore and advanced content management.

Is Microsoft SharePoint Syntex already available?

SharePoint Syntex was released on 1 October 2023, and is available in all countries where Microsoft 365 is offered. So, if you are a CICERO LawPack user, you can start using it already. But note that there are some differences in the availability of languages and pricing for SharePoint Syntex in Europe.

SharePoint Syntex supports 21 languages for document understanding models and 63 languages for form processing models. (The article in the Microsoft Tech Community on the availability, which is listed in the sources below, has the full list of supported languages). All languages in which Microsoft 365 is available in Europe are available for Syntex within Europe. This does not mean, however, that all languages are available in all regions. For example, some languages are only available in the US region, such as Arabic, Hebrew, Hindi, Thai, and Vietnamese.

The pricing of SharePoint Syntex depends on the type of licensing and the number of transactions, as well as on the region and currency. There are two options for licensing: per-user and pay-as-you-go. Per-user licensing costs $5 per user per month in the US and allows unlimited usage of Syntex services. The price in EUR may differ depending on the exchange rate and local taxes. Pay-as-you-go licensing charges based on the total number of pages processed by Syntex, with different rates for unstructured, structured, and prebuilt document processing.

According to the Microsoft website, the price of SharePoint Syntex in Belgium is €7,90 per user per month for per-user licensing, and €0,04 per transaction for unstructured document processing, €0,01 per transaction for prebuilt document processing, and €0,04 per transaction for structured and freeform document processing for pay-as-you-go licensing. These prices do not include VAT and may vary depending on the currency exchange rate and the Azure subscription plan. You can find the exact price of SharePoint Syntex in your region and currency on the Microsoft 365 Enterprise Licensing page (listed below in the sources).

What are the benefits of Microsoft SharePoint Syntex?

Microsoft Syntex can help your law firm automate business processes, improve search accuracy, and manage compliance risk. With content AI services and capabilities, you can build content understanding and classification directly into the content management flow. Some of the benefits of using Microsoft Syntex are:

Increased productivity: Your law firm can save time and resources by automating repetitive tasks such as document generation, extraction, classification, tagging, indexing, summarization, translation, etc. You can also access your content faster and easier by using intelligent search capabilities that leverage metadata and AI insights.

Improved quality: You can reduce errors and inconsistencies by using standardized templates, prebuilt models, or custom models that suit your specific needs. You can also ensure that your content is accurate, relevant, and up to date by using AI-powered analytics and feedback mechanisms.

Enhanced security: You can protect your sensitive data by using AI-powered security and compliance features that help you identify risks, apply policies, enforce retention rules, monitor activity, audit changes, etc. You can also backup and restore your content in case of accidental deletion or corruption.

What are the benefits for lawyers?

For lawyers in particular, Microsoft Syntex can offer some additional benefits that can help them streamline their legal workflows, improve their client service, and reduce their liability exposure.

Faster contract review: Lawyers can use prebuilt or custom models to automatically extract key information from contracts such as parties, clauses, terms, dates, amounts, etc. They can also use content assembly to automatically generate contracts based on templates and data sources. This can help them speed up their contract review process, avoid missing important details or deadlines, and ensure consistency across their contracts.

Easier knowledge management: Your law firm can use content AI to automatically summarize, translate, annotate, tag, index their legal documents such as cases, opinions, briefs, memos etc. They can also use intelligent search to quickly find relevant information across their SharePoint libraries or Teams channels. This can help them manage their legal knowledge more effectively, access the information they need when they need it, and share it with their colleagues or clients.

Better compliance and risk management: It is possible to use content management to automatically apply security and compliance policies to their legal documents based on their sensitivity, confidentiality, or retention requirements. Lawyers can also use AI-powered analytics and monitoring to identify potential issues, conflicts, or breaches in their documents and take appropriate actions. This can help them comply with their ethical and legal obligations, protect their client’s interests, and reduce their liability exposure.

 

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Ambient Computing for lawyers

In our previous article, we discussed ambient computing: what it is, and what the benefits and challenges are. In this article we discuss what the relevance of ambient computing is for lawyers. We look at ambient law, which deals with the legal aspects of ambient computing. Then we ask ourselves, “what are the benefits of ambient computing for lawyers?”, and “what are the challenges?”. But first we start with a short recap on what ambient computing is.

A short recap: what is ambient computing?

In our previous article, we explained that “ambient computing is the idea of embedding computing power into everyday objects and environments, to make them smart, connected, and responsive. The goal is to make it easier for users to take full advantage of technology without having to worry about the details. (…) Ambient computing relies on a variety of technologies, such as sensors, artificial intelligence, cloud computing, voice recognition, gesture control, and wearable devices, to create a seamless and personalized user experience. Ambient computing devices are designed to be unobtrusive and blend into the background, so that users can focus on their tasks and goals rather than on the technology itself.” As such, the concept of ambient computing is closely related to the concept of the Internet of Things.

Examples of ambient computing technology are found in smart homes, cars, business premises, as well as other domains, such as health care, education, entertainment, and transportation, etc.

So, now that we know what ambient computing is, we can focus on the next question: what does ambient computing mean for lawyers and the legal profession? Three items come to mind: what are the legal aspects of ambient computing? What are the benefits for lawyers? What are the risks and challenges for lawyers?

Ambient Law: the legal aspects of ambient computing

When the Internet of Things was starting to take form, the term ambient law was introduced to refer to the legal aspects of using ambient technology. There are four main areas where legal issue can arise, and we can pair them in two sets of two. On the one hand, there is data privacy and security. On the other hand, there is liability and accountability.

Data Privacy and Security

Ambient computing involves collecting, processing, and sharing large amounts of personal and sensitive data from various sources and devices, which raises significant privacy and security concerns.

Privacy: In our previous article we wrote that ambient computing collects vast amounts of data about users’ behaviour, preferences, location, health, and more. This data can be used for beneficial purposes, such as improving services and personalization. But it can also be misused or compromised by malicious actors or third parties. Or they can be sold to third parties, often without the users’ knowledge or consent. Many car manufacturers, e.g., are guilty of this.

In this context, it is worth referring to the SWAMI project, which stands for Safeguards in a World of Ambient Intelligence. This project took a precautionary approach in its exploration of the privacy risks in Ambient Intelligence (AmI) and sought ways to reduce those risks.

The project discovered that several “dark scenarios” where possible that would have negative implications for privacy protection. It identified various threats and vulnerabilities. Legal analysis of these scenarios also showed there are shortcomings in the current legal framework and that the current legislation cannot provide adequate privacy protection in the AmI environment.

The Project concluded that a new approach to privacy and data protection is needed, based on control and responsibility rather than on restriction and prohibition.

Security: Again, there are several aspects to the security side of ambient computing. On the one hand, all the personal data it collects must be protected. Another side is that in essence each new ambient device increases the security risk. Ambient technologies can expose users’ devices and data to cyberattacks or physical tampering. This can compromise users’ safety and functionality of their devices. Cars and baby monitors, e.g., appear to be easy targets for hackers.

There have been initiatives already to tackle the possible security risks inherent in ambient computing. Relevant data security laws generally focus on data protection, cybersecurity, cross-border data transfers, the rights of the data subject, and on penalties for non-compliance.

Liability and accountability

The other two aspects are legal liability and accountability: Ambient computing involves delegating some decisions and actions to autonomous agents or systems that may not be fully transparent or predictable. This raises questions about who is responsible and liable for the outcomes or consequences of those decisions or actions, especially when they cause harm or damage to others. (In a previous article, we looked at robot law and looked at who would be responsible for a robot’s actions: is it the robot, the owner, or the manufacturer?)

As we are dealing with new technologies that are literally all around us, legal liability and accountability in ambient computing are complex issues.

What are the benefits of ambient computing for lawyers?

In our previous article, we highlighted some general benefits of ambient computing. These include convenience, efficiency, engagement, and empowerment. More specifically for lawyers, ambient computing can offer three groups of benefits.

A first set of benefits has to do with improving productivity and efficiency. Ambient computing technology can automate and streamline many routine tasks and processes that lawyers perform. Some law firm management software can already be voice controlled and work together with artificial assistants. (Our article on virtual legal assistants discusses this, too).

Ambient computing can also enhance client experience and satisfaction. It can enable lawyers to provide more personalized, responsive, and proactive service to their clients, by leveraging data and insights from various sources and devices.

Finally, ambient computing can open up new business models and opportunities. It can create new types of services, products, and platforms that leverage ambient intelligence and connectivity.

What are the challenges?

Ambient computing also poses some challenges and risks for lawyers, including the ones we already mentioned above when talking about ambient law.

When it comes to protecting data privacy and security, lawyers have a duty to protect the confidentiality and integrity of their clients’ data, as well as their own data. Therefore, they need to ensure that they comply with the applicable laws and regulations on data protection, such as the GDPR. They also must make sure their ambient technology complies with the ethical standards and best practices of their profession. Furthermore, they need to be aware of the potential threats and vulnerabilities that ambient computing introduces, such as data breaches, cyberattacks, unauthorized access, etc., and take appropriate measures to prevent or mitigate them.

For lawyers, too, there are aspects of legal liability and accountability. Ambient computing involves delegating some decisions and actions to autonomous agents or systems that may not be fully transparent or predictable. This raises questions about who is responsible and liable for the outcomes or consequences of those decisions or actions, especially when they cause harm or damage to others. Lawyers need to understand the legal implications and risks of using ambient computing in their practice or advising their clients on it. They also need to ensure that they have adequate contracts, policies, insurance, etc., to cover any potential liability or claims that may arise from ambient computing.

Finally, ambient computing may force lawyers to adapt to changing roles and skills. Ambient computing may disrupt or transform some aspects of the legal profession or industry, by creating new demands or expectations from clients or stakeholders. Lawyers need to be prepared to adapt to these changes and embrace new roles and skills that ambient computing requires or enables. For example, they may need to become more tech-savvy or data-driven, collaborate more with other professionals or disciplines, or specialize in new areas or domains related to ambient computing.

Conclusion

Ambient computing is an emerging trend that has significant implications for lawyers and the legal profession. Ambient computing can offer many benefits for lawyers who want to improve their practice and service delivery. However, it also poses some challenges and risks that lawyers need to address carefully. Lawyers who want to embrace ambient computing need to be aware of the legal and regulatory aspects of ambient computing in their jurisdiction or context. They also need to be proactive in learning and adopting the best practices and tools that ambient computing provides or demands.

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Ambient Computing

In this article we discuss ambient computing. We answer the following questions: What is ambient computing? What are some examples of ambient computing? What are the benefits? What are the challenges? In a follow-up article, we will look at the relevance of ambient computing for lawyers.

What is ambient computing?

Ambient computing is the idea of embedding computing power into everyday objects and environments, to make them smart, connected, and responsive. The goal is to make it easier for users to take full advantage of technology without having to worry about the details. Instead of having to directly interact with different computing devices to get desired results – for example, using your phone to make a phone call and your remote to turn on a TV– ambient computing allows all your devices to work together seamlessly to fulfil your needs.

Ambient computing relies on a variety of technologies, such as sensors, artificial intelligence, cloud computing, voice recognition, gesture control, and wearable devices, to create a seamless and personalized user experience. Ambient computing devices are designed to be unobtrusive and blend into the background, so that users can focus on their tasks and goals rather than on the technology itself.

Why call it ambient computing? The Oxford Dictionary defines the word ambient as “relating to the immediate surroundings of something.” So, in this vision of ambient computing the technology is largely invisible and integrated into our surroundings. For this reason, it is also often referred to as ubiquitous computing.

The concept of ambient computing is closely related to the concept of the Internet of Things. Sabrina Ortiz in ZDNet: “the two concepts are intertwined. IoT refers to the vast array devices that connect to the internet to optimize their functionality, like smart sensors and smart speakers: ambient computing builds on that. ‘IoT forms a base for ambient computing, with ambient computing more focused on how devices and intelligent services interact with users,’ Jason Low, principal analyst at the research firm Canalys, tells ZDNET. In other words, ambient computing focuses on the interaction between these devices once they are connected.”

Ambient computing is not a new idea, but it has become more prevalent and accessible in recent years, thanks to the advancements in the Internet of Things (IoT), artificial intelligence (AI), cloud computing, and 5G networks. These technologies enable a vast array of smart devices, sensors, data, and agents that can communicate, analyse, and act in the background.

Some examples of ambient computing

One of the most widespread examples of ambient computing devices are smart speakers and personal voice assistants. Think, e.g., of devices like Amazon Echo, and Google Home. These devices allow users to control their smart home devices, access information, play music, and more, simply by using their voice. Users can speak naturally to their surroundings, without having to look at a screen or press a button. These smart speakers and personal voice assistants and connected devices can turn you home into a smart home where almost everything can be controlled from your phone, or it can be voice controlled. This includes lights, microwave ovens, window blinds, thermostats, washing machines, etc.

Another example of ambient computing is found in cars. Present day cars have all kinds of technology embedded in them, and they are all seamlessly integrated. They have built-in cameras, microphones, and a legion of sensors that all collect and process data in a seemingly unobtrusive way. Consulting firm McKinsey predicts that 95% of new vehicles sold globally will be connected ones by 2030.

Ambient computing can help in business operations, too. The pandemic changed how corporations operate, with many workplaces still having hybrid work models in place. To mitigate the problem of having employees in different places, many workplaces have developed conference rooms that have a sound system which picks up voices from across the room for Zoom calls and allows for smart casting of virtual meetings on a big screen. These office spaces are a great example of how ambient computing is implemented: both the smart casting tech and the sound system remain active in the conference room at all times, cannot be seen and facilitate an everyday activity.

Ambient computing is also expanding to other domains, such as health care, education, entertainment, and transportation. For instance, wearable devices such as smartwatches and fitness trackers can monitor users’ health and activity levels and provide feedback and recommendations. Smart glasses and augmented reality headsets can overlay digital information onto users’ vision, enhancing their perception and interaction with the physical world. Self-driving cars can sense their environment and navigate autonomously, while providing passengers with entertainment and comfort options.

What are the benefits?

As the above examples demonstrate, ambient computing clearly has the potential to bring many benefits to users and society at large. To mention but a few:

  • Convenience: Ambient computing can make users’ lives easier by automating tasks, simplifying interactions, and providing personalized services.
  • Efficiency: Ambient computing can improve users’ productivity and performance by reducing errors, saving time, and optimizing resources.
  • Engagement: Ambient computing can enhance users’ enjoyment and satisfaction by creating immersive and interactive experiences.
  • Empowerment: Ambient computing can enable users to access information and opportunities that they might not have otherwise.

What are the challenges?

As with any technology, ambient computing also poses several challenges and risks that need to be addressed. The most important challenges include:

Privacy: Ambient computing can collect vast amounts of data about users’ behaviour, preferences, location, health, and more. This data can be used for beneficial purposes, such as improving services and personalization. But it can also be misused or compromised by malicious actors or third parties. Or they can just be sold to third parties. Research by the Mozilla Foundation reveals that many car manufacturers, e.g., make a bigger profit from the collected data they sell than from the actual sales of cars. And that is alarming.

Security: Ambient computing can expose users’ devices and data to cyberattacks or physical tampering. This can compromise users’ safety and functionality of their devices. Cars and baby monitors, e.g., appear to be easy targets for hackers.

Ethics: Ambient computing can raise ethical questions about users’ autonomy, consent, trust, responsibility, and accountability. For example, who decides what data is collected and how it is used? How transparent are the algorithms that make decisions for users? How do users balance convenience with control?

Accessibility: Ambient computing can create digital divides between those who have access to ambient technology and those who do not. This can create inequalities in terms of opportunities, education, health care, and social inclusion.

Conclusion

Ambient computing is already changing the way we live and work. It offers many benefits, but there also are some serious challenges that may require extra regulation. In our next article, we have a closer look at its relevance for lawyers.

 

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Virtual Legal Assistants

In this article, we discuss virtual legal assistants (VLAs). We answer questions like, “What are virtual legal assistants?”, “What services do they offer?”, “What are the benefits of using virtual legal assistants?”, and “What are the limitations?”. We also have a look at some statistics.

What are virtual legal assistants?

When we read articles on virtual legal assistants, we discover that the term is used in different ways. Some definitions restrict it to physical persons who work remotely and to whom purely administrative tasks are outsourced. Most authors also include the work of (remote) paralegals, while others also include all the services offered by third-party (or alternative) legal service providers who may use AI-powered or technology-driven platforms like bots. So, in its widest sense, a virtual legal assistant is an assistant that remotely assists lawyers, law firms, and legal professionals with various tasks and processes. They typically work as subcontractors for the law firm.

What services do they offer?

Virtual legal assistants offer a wide range of services. They can streamline and facilitate client communications and interactions. E.g., they can answer frequently asked questions and provide updates on case status, while maintaining confidentiality and security. They can personalize client engagement. And if you work with VLA bots and/or with physical people in different locations, they can guarantee 24/7 availability and instant responses.

Virtual legal assistants can enhance legal research. They can help lawyers find relevant case law, statutes, regulations, and legal articles to support their arguments and build stronger cases. They provide instant access to legal knowledge.

VLAs can assist in drafting legal documents such as contracts, agreements, pleadings, and other legal correspondence, often by generating templates or suggesting content based on context. One area where VLA bots have been proven very useful is contract review. They can review contracts, highlight important clauses, identify potential risks, and ensure compliance with relevant laws.

Virtual legal assistants also contribute to facilitating and optimizing case management and workflow. They can organize and manage case-related information, deadlines, and tasks, streamlining the workflow for lawyers and legal teams. VLA bots can provide automated case updates.

Other areas where VLAs are useful include bookkeeping, billing, and time tracking. They can help lawyers track billable hours and manage invoicing for clients.

You can also hire a VLA for data entry.

There is the aspect of due diligence, as well. Virtual legal assistants can assist in conducting due diligence for mergers, acquisitions, or other transactions by analysing legal and financial data.

VLA bots are also useful for legal analytics. They can analyse large sets of legal data and provide insights into trends, patterns, and potential outcomes.

Finally, there is E-discovery. VLA bots can help with the process of identifying, collecting, and analysing electronically stored information (ESI) for litigation purposes.

Some statistics

There are plenty of interesting statistics available when it comes to virtual assistants. Here is a selection.

  • Virtual assistants can decrease operating costs by up to 78%.
  • Investing in virtual assistants cuts the attrition by 50%. (The attrition rate pertains to the number of people resigning from an organization over a period of time).
  • Virtual assistants increase productivity by 13%.
  • According to a survey by the American Bar Association, 26% of lawyers use virtual assistants or paralegals. The 2020 Legal Trends Report found that law firms only spend an average of 2.5 hours each day on billable work, which can be improved by delegating work to legal virtual assistants.
  • A study by the University of Oxford found that 23% of legal work can be automated by existing technology, and that virtual assistants can handle tasks such as document review, contract analysis, due diligence, and research.
  • A report by Deloitte estimated that 39% of legal jobs will be replaced by automation, and that virtual assistants will play a key role in enhancing productivity, efficiency, and accuracy.
  • A survey by LawGeex found that virtual assistants can review contracts faster and more accurately than human lawyers. The average accuracy rate for virtual assistants was 94%, compared to 85% for human lawyers. The average time for virtual assistants to review a contract was 26 seconds, compared to 92 minutes for human lawyers.
  • According to Gartner, by 2023, virtual legal assistants (VLAs) will field 25% of internal requests to legal departments at large enterprises, increasing operational capacity for in-house corporate teams.
  • A survey by Virtudesk found that 82% of business owners who hired virtual assistants reported increased productivity and efficiency, and 78% said they saved money on operational costs.

What are the benefits of using virtual legal assistants?

We listed the tasks virtual legal assistants can do above. By delegating these tasks to a virtual legal assistant, you can free up your time and focus on the core aspects of your practice, such as strategy, advocacy, and client relations. As such, they increase efficiency and productivity.

You can also reduce your overhead costs, as you only pay for the services you need, when you need them. You don’t have to worry about hiring, training, supervising, or providing benefits to an in-house staff member. In other words, they can also be a more cost-effective solution compared to hiring additional staff for administrative tasks. (Cf. the statistics quoted above).

A virtual legal assistant can also offer you flexibility and convenience, as they can work from anywhere and often at any time. You can access their services on demand, without being limited by office hours or location. You can also communicate with them through various channels, such as phone, email, chat, or video conferencing. VLA bots work 24/7.

There also is the access to technology aspect. AI virtual legal assistants can automate repetitive tasks. They can leverage advanced AI and technology and may provide access to powerful tools that may not be affordable or available to smaller law firms.

Virtual legal assistants increase accuracy. Especially AI-driven assistants can often perform tasks with a high level of accuracy and consistency, reducing the likelihood of human errors. (Cf. our article on when lawyers and robots compete).

Scalability is another benefit. Working with VLAs allow you to easily adapt to the changing needs of your law practice, whether it’s handling increased workloads during busy periods or scaling down during quieter times.

What are the limitations?

While virtual legal assistants can be valuable tools, they are not meant to replace human lawyers. Instead, they complement legal professionals by enhancing their productivity and efficiency. It’s essential to consider the specific needs of the law practice and the capabilities of the virtual legal assistant platform before making a choice. They are meant to assist lawyers, not replace them.

Another thing to keep in mind is that at present most of the VLA bots are only available in English.

Conclusion

The use of virtual legal assistants is on the rise, and that should not come as a surprise. They boost efficiency, productivity, are cost-effective, and allow lawyers to focus on legal work.

 

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Statistics

Social media for lawyers

In this article, we focus on social media for lawyers. We start with some statistics about social media that underpin their relevance. Next, we have a look at the different categories of social media that exist. We conclude with a selection of social media that are recommended for lawyers.

Some statistics about social media

In a previous article, we explained why social media matter. They are a valuable marketing tool, even for lawyers, because they provide direct access to your target audiences.  Legal consumers are online consumers and social media allow them to familiarize themselves with the lawyers whose services they want to employ.

And social media are extremely popular, as the following statistics illustrate.

  • In April 2023, there were 4.8 billion social media user identities, which is the equivalent of 59.9% of the global population. If we narrow it down to adults (18 years and older) then we are dealing with a number that is the equivalent of 78% of the population.
  • If we look at the number of people using the Internet, then we find that 92.7% of them are on at least one form of social media.
  • The average time a social media user spends each day on social media amounts to 2 hours and 24 minutes.
  • Demographics: 46.5% of social media users are female, while 53.5% are male.
  • People who are active on social media tend to be active on more than one platform and on average have 6.6 social media profiles.

A key concept in the metrics about social media users is the number of monthly active users (MAU). These are the unique users who use a social media platform at least once a month. Based on these monthly active users, these are the 21 most popular social media platforms.

  1. Facebook — 2.96 billion
  2. YouTube — 2.2 billion
  3. WhatsApp — 2 billion
  4. Instagram — 2 billion
  5. WeChat — 1.26 billion
  6. TikTok — 1 billion
  7. Sina Weibo — 573 million
  8. QQ — 538.91 million
  9. Telegram — 550 million
  10. Snapchat — 557 million
  11. Kuaishou — 573 million
  12. zone — 553.5 million
  13. Pinterest — 444 million
  14. Twitter — 238 million
  15. Reddit — 430 million
  16. LinkedIn — 424 million
  17. Quora — 300 million
  18. Discord — 150 million
  19. Twitch — 140 million
  20. Tumblr — 135 million
  21. Mastodon — 2.5 million

Now, many of those you may not be familiar with because they are mainly used in the Far East, and more specifically in China. Those are probably less relevant for most Western lawyers.

Not yet included in the list is Threads, the new Twitter alternative that was launched by Instagram. In the week after it was launched on 5 July 2023, it already gathered more than 100 million users, which would put it near the top 20. But note that at the time of writing, Threads is not available in the EU.

Categories of social media

There are many different types of social media. To tell them apart, it makes sense to group them in different categories. The Wikipedia uses the following categories.

  • Blogs are informational websites published on the World Wide Web, consisting of discrete, often informal diary-style text entries (posts). By now, most law firms have their own blog. (For more information, read our article on starting a blog).
  • Business networks are a type of social network service that focuses on interactions and relationships for business opportunities and career growth, with less emphasis on activities in personal life. LinkedIn is an example of a business network. Most law firms also are on LinkedIn.
  • Collaborative projects like, e.g., Wikipedia.
  • Enterprise social networks focus on the use of online social networks or social relations among people who share business interests and/or activities. Enterprise social networking is often a facility of enterprise social software. Yammer and Socialcast are examples.
  • Discussion Forums
  • Microblogs are a form of blogging using short posts without titles. When Twitter, e.g., launched, the size of a message was limited to only 140 characters. Other examples include Tumblr, Mastodon, Post.News, Threads, Spoutible, et. al.
  • Photo sharing websites like Instagram, Flickr, Photobucket, etc.
  • Websites with crowd-sourced reviews of products and/or services. Sometimes these focus on specific market segments like, e.g., Tripadvisor, while others are more generic, like Yelp or Amazon.
  • Social bookmarking are online services which allow users to add, annotate, edit, and share bookmarks of web documents. Delicious and Pinterest are two examples.
  • Social gaming (ex. Mafia Wars, World of Warcraft).
  • Generic social network sites like Facebook.
  • Video sharing websites like YouTube, Vimeo, TikTok, etc.
  • Virtual worlds are computer-simulated environments which may be populated by many users who can create a personal avatar, and simultaneously and independently explore the virtual world, participate in its activities and communicate with others. (We discussed virtual worlds before in our article on Web3).

Note that in this overview the Wikipedia did not include messaging apps like WhatsApp, Telegram, or Signal, while most other overviews do include them. Not included either are websites where people can ask all kinds of questions, like Quora or Reddit.

It is also worth pointing out that the boundaries between these categories are fluid and that they often overlap. Videos, e.g., are not only shared on video sharing sites, but also on virtually all messaging apps, as well as on most other popular platforms like LinkedIn, Facebook, etc.

A selection of social media for lawyers

The annual reports by the American Bar Association and Good2bSocial reveal that by now most law firms are active on social media. Many are present on the most popular platforms like LinkedIn and Facebook, and most have their own blog. The most important current trends are that a) more and more law firms are discovering short form video and start using those, and b) that firms who cater to multiple audiences are seeing the importance of market segmentation. In other words, law firms are learning it pays off to target different audiences on different platforms.

Online articles that recommend lawyers which social media to use are fairly consistent in their recommendations. The selection below is limited to those social media that are most relevant for lawyers, topic-wise and geographically. For most of the ones listed below, we have discussed them before in our blog articles.

When it comes to business networking, LinkedIn is the platform of choice.

When it comes to general social media, Facebook is the most popular choice. Recent statistics show that in the US more law firms are advertising on Facebook than on LinkedIn.

When it comes to messaging apps, there are more options. WhatsApp, Instagram, Snapchat, Telegram, and Signal are all popular. Because of privacy concerns, Signal is probably most recommended for lawyers. Note that most messaging apps now also allow to create groups which can function as mailing list for updates as well as short newsletters. A WhatsApp group can currently have 1 024 members, whereas a Telegram super group can have up to 200 000 members.

Because online consumers like to know in advance who they are dealing with, photo sharing apps can provide them with a more human side of a law firm. Instagram still is the most popular platform, followed by Snapchat, Flickr, and Photobucket.

Up until recently, the platform of choice for micro-blogging was Twitter. But since Elon Musk took over, many users and advertisers have turned their back on Twitter. Several alternatives are available, like Mastodon, Threads, Tumblr, Bluesky, or, e.g., Post.news. Threads seems to be positioning itself as the main alternative but is not available in Europe.

For video sharing, there again are several options. For longer videos, YouTube and Vimeo are the platforms of choice. For short-form videos, TikTok, Instagram, and Snapchat are currently most popular. Note, however, that for lawyers TikTok is not recommended because of serious privacy concerns. Several governments worldwide have ordered officials to remove TikTok from their smart phones.

Pinterest still is the recommended platform for social bookmarking.

When it comes to question-and-answer forums, Quora and Reddit are the two main platforms.

That concludes our overview of recommended social media for lawyers in 2023.

 

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The dangers of artificial intelligence

Artificial intelligence (AI) is a powerful technology that can bring many benefits to society. However, AI also poses significant risks and challenges that need to be addressed with caution and responsibility. In this article, we explore the questions, “What are the dangers of artificial intelligence?”, and “Does regulation offer a solution?”

The possible dangers of artificial intelligence have been making headlines lately. First, Elon Musk and several experts called for a pause in the development of AI. They were concerned that we could lose control over AI considering how much progress has been made recently. They expressed their worries that AI could pose a genuine risk to society. A second group of experts, however, replied that Musk and his companions were severely overstating the risks involved and labelled them “needlessly alarmist”. But then a third group again warned of the dangers of artificial intelligence. This third group included people like Geoffrey Hinton, who has been called the godfather of AI. They even explicitly stated that AI could lead to the extinction of humankind.

Since those three groups stated their views, many articles have been written about the dangers of AI. And the calls to regulate AI have become louder than ever before. (We published an article on initiatives to regulate AI in October 2022). Several countries have started taking initiatives.

What are the dangers of artificial intelligence?

So, what are the dangers of artificial intelligence? As with any powerful technology, it can be used for nefarious purposes. It can be weaponized and used for criminal purposes. But even the proper use of AI holds inherent risks and can lead to unwanted consequences. Let us have a closer look.

A lot of attention has already been paid in the media to the errors, misinformation, and hallucinations of artificial intelligence. Tools like ChatGPT are programmed to sound convincing, not to be accurate. It gets its information from the Internet, but the Internet contains a lot of information that is not correct. So, its answers will reflect this. Worse, because it is programmed to provide any answer if it can, it sometimes just makes things up. Such instances have been called hallucinations. In a lawsuit in the US, e.g., a lawyer had to admit that the precedents he had quoted did not exist and were fabricated by ChatGPT. (In a previous article on ChatGPT, we warned that any legal feedback it gives must be double-checked).

As soon as ChatGPT became available, cybercriminals started using it to their advantage. A second set of dangers therefore has to do with cybercrime and cybersecurity threats: AI can be exploited by malicious actors to launch sophisticated cyberattacks. This includes using AI algorithms to automate and enhance hacking techniques, identify vulnerabilities, and breach security systems. Phishing attacks have also become more sophisticated and harder to detect.

AI can also be used for cyber espionage and surveillance: AI can be employed for sophisticated cyber espionage activities, including intelligence gathering, surveillance, and intrusion into critical systems. Related to this is the risk of invasion of privacy and data manipulation. AI can collect and analyse massive amounts of personal data from various sources, such as social media, cameras, sensors, and biometrics. This can enable AI to infer sensitive information about people’s identities, preferences, behaviours, and emotions. AI can also use this data to track and monitor people’s movements, activities, and interactions. This can pose threats to human rights, such as freedom of expression, association, and assembly.

Increased usage of AI will also lead to the loss of jobs due to automation. AI can perform many tasks faster and cheaper than humans, which will lead to unemployment and inequality. An article on ZD Net estimates that AI could automate 300 million jobs. Approximately 28% of current jobs could be at risk.

There also is a risk of loss of control. As AI systems become more powerful, there is a risk that we will lose control over them. This could lead to AI systems making decisions that are harmful to humans, such as launching a nuclear attack or starting a war. This risk of the loss of control is a major concern about the weaponization of AI. As AI technology advances, there is a worry that it could be weaponized by state or non-state actors. Autonomous weapon systems equipped with AI could potentially make lethal decisions without human intervention, leading to significant ethical and humanitarian concerns.

We already mentioned errors, misinformation, and hallucinations. Those are involuntary side-effects of AI.  A related danger of AI is the deliberate manipulation and misinformation of society through algorithms. AI can generate realistic and persuasive content, such as deepfakes, fake news, and propaganda, that can influence people’s opinions and behaviours. AI can also exploit people’s psychological biases and preferences to manipulate their choices and actions, such as online shopping, voting, and dating.

Generative AI tends to use existing data as its basis for creating new content. But this can cause issues of infringement of intellectual property rights. (We briefly discussed this in our article on generative AI).

Another risk inherent to the fact that AI learns from large datasets is bias and discrimination. If this data contains biases, then AI can amplify and perpetuate them. This poses a significant danger in areas such as hiring practices, lending decisions, and law enforcement, where biased AI systems can lead to unfair outcomes. And if AI technologies are not accessible or affordable for all, they could exacerbate existing social and economic inequalities.

Related to this are ethical implications. As AI systems become more sophisticated, they may face ethical dilemmas, such as decisions involving human life or the prioritization of certain values. Think, e.g., of self-driving vehicles when an accident cannot be avoided: do you sacrifice the driver if it means saving more lives? It is crucial to establish ethical frameworks and guidelines for the development and deployment of AI technologies. Encouraging interdisciplinary collaboration among experts in technology, ethics, and philosophy can help navigate these complex ethical challenges.

At present, there is insufficient regulation regarding the accountability and transparency of AI. As AI becomes increasingly autonomous, accountability and transparency become essential to address the potential unintended consequences of AI. In a previous article on robot law, we asked the question who is accountable when, e.g., a robot causes an accident. Is it the manufacturer, the owner, or – as AI becomes more and more self-aware – could it be the robot? Similarly, when ChatGPT provides false information, who is liable? In the US, Georgia radio host Mark Walters found that ChatGPT was spreading false information about him, accusing him of embezzling money. So, he is suing OpenAI, the creators of ChatGPT.

As the abovementioned example of the lawyer quoting non-existing precedents illustrated, there also is a risk of dependence and overreliance: Relying too heavily on AI systems without proper understanding or human oversight can lead to errors, system failures, or the loss of critical skills and knowledge.

Finally, there is the matter of superintelligence that several experts warn about. They claim that the development of highly autonomous AI systems with superintelligence surpassing human capabilities poses a potential existential risk. The ability of such systems to rapidly self-improve and make decisions beyond human comprehension raises concerns about control and ethical implications. Managing this risk requires ongoing interdisciplinary research, collaboration, and open dialogue among experts, policymakers, and society at large. On the other hand, one expert said that it is baseless to automatically assume that superintelligent AI will become destructive, just because it could. Still, the EU initiative includes the requirement of building in a compulsory kill switch that allows to switch the AI off at any given moment.

Does regulation offer a solution?

In recent weeks, several countries have announced initiatives to regulate AI. The EU already had its own initiative. At the end of May, its tech chief Margrethe Vestager said she believed a draft voluntary code of conduct for generative AI could be drawn up “within the next weeks”, with a final proposal for industry to sign up “very, very soon”. The US, Australia, and Singapore also have submitted proposals to regulate AI.

Several of the abovementioned dangers can be addressed through regulation. Let us go over some examples.

Regulations for cybercrime and cybersecurity should emphasize strong cybersecurity measures, encryption standards, and continuous monitoring for AI-driven threats.

To counter cyber espionage and surveillance risks, we need robust cybersecurity practices, advanced threat detection tech, and global cooperation to share intelligence and establish norms against cyber espionage.

Privacy and data protection regulations should enforce strict standards, incentivize secure protocols, and impose severe penalties for breaches, safeguarding individuals and businesses from AI-enabled cybercrime.

To prevent the loss of jobs, societies need to invest in education and training for workers to adapt to the changing labour market and create new opportunities for human-AI collaboration.

Addressing AI weaponization requires international cooperation, open discussions, and establishing norms, treaties, or agreements to prevent uncontrolled development and use of AI in military applications.

To combat deepfakes and propaganda, we must develop ethical standards and regulations for AI content creation and dissemination. Additionally, educating people on critical evaluation and information verification is essential.

Addressing bias and discrimination involves ensuring diverse and representative training data, rigorous bias testing, and transparent processes for auditing and correcting AI systems. Ethical guidelines and regulations should promote fairness, accountability, and inclusivity.

When it comes to accountability and transparency, regulatory frameworks can demand that developers and organizations provide clear explanations of how AI systems make decisions. This enables better understanding, identification of potential biases or errors, and the ability to rectify any unintended consequences.

At the same time, regulation also has its limitations. While it is important, e.g., to regulate things like cybercrime or the weaponization of AI, it is also clear that the regulation will not put an end to these practices. After all, by definition, cybercriminals don’t tend to care about any regulations. And despite the fact that several types of weapons of mass destruction have been outlawed, it is also clear that they are still being produced and used by several actors. But regulation does help to keep the trespassers accountable.

It is also difficult to assess how disruptive the impact of AI will be on society. Depending on how disruptive it is, additional measures may be needed.

Conclusion

We have reached a stage where AI has become so advanced that it will change the world and the way we live. This is already creating issues that need to be addressed. And as with any powerful technology, it can be abused. Those risks, too, need to be addressed. But while we must acknowledge these issues, it should also be clear that the benefits outweigh the risks, as long as we don’t get ahead of ourselves. At present, humans abusing AI are a greater danger than AI itself.

 

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Token Economics for Lawyers (2): the value of tokens

This is the second part of a two-part article. In the first part we explained what tokens and token economics are. We also discussed some legal issues and the relevance for lawyers. In this second part, we look at the value of tokens. Tokens are digital assets. Assets have a value. How is that value assessed? What are the factors in determining the value of tokens? And what are the most common value models for digital tokens?

Factors determining the value of tokens

The value of tokens is determined by a variety of factors, including supply and demand, market sentiment, and the underlying technology. Let’s have a look at those.

Supply and Demand: Like any other asset, the value of tokens is determined by the balance of supply and demand. If there is a high demand for a particular token and a limited supply, the price of the token will go up. Conversely, if there is a low demand and a high supply, the price of the token will go down.

Market Sentiment: The value of tokens is also influenced by market sentiment. If investors believe that a particular token has a strong future, they will be more likely to buy it, increasing its value. Conversely, if there are concerns about the future of a token, investors may sell their holdings, causing the value to drop.

Underlying Technology: The underlying technology of a token can also influence its value. If a token is built on a strong, reliable blockchain network, it may be seen as more valuable than a token built on a less secure network. Similarly, if a new technology is more environmentally friendly than its competitors, it will be considered more valuable.

Terminology

The value of a token is largely determined by the token model. The term token model refers to the design and structure of a token, and how these aim to create a self-sustaining ecosystem that incentivizes network participation and rewards valuable contributions. These models typically include elements such as token distribution, inflation rate, governance mechanisms, and utility functions, among others.

There are several different value models of tokens, each with its own unique characteristics and potential benefits. But before we explain those, it is good to first familiarize ourselves with some of the terminology regarding these characteristics.

A hard cap is the maximum amount of funds that a token sale or initial coin offering (ICO) can raise. Once this cap is reached, no more tokens will be sold or created. A soft cap, on the other hand, is a lower funding threshold that must be met for the project to proceed. If the soft cap is not met, the project may be cancelled or delayed, and investors may receive a refund.

The total token supply is the total number of tokens that will ever be created for a given project. This includes both tokens that have already been distributed and tokens that have not yet been released. The circulating supply, on the other hand, is the number of tokens that are currently in circulation and available for trading. This excludes tokens that are locked up or held by the project team, for example.

The market cap, short for market capitalization, is the total value of all tokens in circulation. It is calculated by multiplying the current price of a token by the circulating supply of tokens. Market cap can be used as an indicator of the overall size and success of a project and is often used to compare different projects within the same industry or sector.

Token value models

There are basically four common types of token value models:

Deflationary tokens

Deflationary tokens are designed to decrease in supply over time, either through burning tokens or reducing the rate of token issuance. In other words, there is a hard cap on the number of tokens created. which acts as a deflationary mechanism as demand increases over time, but supply does not. This creates scarcity and can lead to a rise in the value of the token as demand outstrips supply. The goal is to incentivize long-term holding of the token and discourage short-term speculation. However, there is a risk that the decreasing supply may make the token less attractive for use in transactions, reducing its utility. Examples of deflationary tokens are Bitcoin (BTC), Litecoin (LTC), and Bitcoin Cash (BCH).

Inflationary tokens

Inflationary tokens are the opposite of deflationary tokens. They are designed to increase in supply over time, either through regular token issuance or through other mechanisms such as staking rewards. The goal is to encourage spending and discourage hoarding, as the value of the token may decrease over time due to increased supply. This can also incentivize network participation and development, as new tokens are issued to those who contribute to the network. In this model, there is no hard cap on the number of tokens created. Instead, there are various iterations of the tokens being issued. Some token issuers limit token creation to a yearly basis, while others stick to a set schedule. And some adjust the supply, based on demand data. Examples of inflationary tokens are Ethereum (ETH), Polkadot (DOT), and Solana (SOL).

Dual-tokens model

In a dual-tokens model, there are two tokens: one that serves as a utility token for network access or use, and another that serves as a store of value or governance token. This can help separate the utility and speculative aspects of the token, and potentially provide more stable value for both. The utility token can be inflationary or deflationary depending on the specific model, while the store of value/governance token is typically designed to be more stable. Examples of this are VeChain (VET), VeChain Thor Energy (VTHO), NEO, GAS, Ontology Coin (ONT), Ontology Gas (ONG)

Asset-backed tokens

Asset-backed tokens are tokens that are backed by a physical asset or reserve, such as gold or fiat currency. This provides a degree of stability and confidence in the token’s value, as it is tied to a tangible asset. However, the value of the token may be limited by the value of the underlying asset, and there may be challenges in ensuring the proper reserve ratio and maintaining transparency. Examples are Pax Gold (PAXG), which is linked to the price of gold, as well as Tether (USDT) and USD Coin (USDC), which are both linked to the US Dollar.

Additional considerations

It’s worth noting that these different value models are not mutually exclusive, and hybrid models may also be used to achieve specific goals. Ultimately, the choice of value model depends on the specific use case and goals of the token and its associated network. Overall, the deflationary utility token model is the most popular, with the inflationary token model in second place.

The design of token models plays a crucial role in determining the value of tokens within a given ecosystem. A well-designed token model can create a strong network effect and incentivize various stakeholders to participate in the network. This, in turn, can increase the demand for tokens.

For example, a token with a deflationary supply mechanism may see an increase in its value as the supply decreases over time. Similarly, a token with strong governance mechanisms that allow token holders to have a say in the network’s decision-making process may be more attractive to investors and users, increasing the demand for tokens.

On the other hand, poorly designed token models may lead to a lack of adoption, low network activity, and a decrease in the token’s value. For example, a token with excessive inflation or high transaction fees may discourage users from participating in the network, leading to a decrease in demand and a corresponding decrease in the token’s value.

The value of tokens: conclusion

The value of tokens is determined by a variety of factors, including supply and demand, market sentiment, and the underlying technology. Overall, the value of tokens is closely tied to the token model’s ability to incentivize network participation, promote adoption, and balance the supply and demand dynamics within the network. The success of a token model depends on its ability to provide clear value propositions, promote adoption and usage, and maintain a healthy balance between supply and demand dynamics.

 

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