Articles and Columns for August 2023 The Case For Large Language Model Optimism in Legal Research From A Law & Technology Librarian – The emergence of Large Language Models (LLMs) in legal research signifies a transformative shift. This article by Sean Harrington critically evaluates the advent and fine-tuning of Law-Specific LLMs, such as those offered by …
The emergence of Large Language Models (LLMs) in legal research signifies a transformative shift. This article by Sean Harrington critically evaluates the advent and fine-tuning of Law-Specific LLMs, such as those offered by Casetext, Westlaw, and Lexis. Unlike generalized models, these specialized LLMs draw from databases enriched with authoritative legal resources, ensuring accuracy and relevance. Harrington highlights the importance of advanced prompting techniques and the innovative utilization of embeddings and vector databases, which enable semantic searching, a critical aspect in retrieving nuanced legal information. Furthermore, the article addresses the ‘Black Box Problem’ and explores remedies for transparency. It also discusses the potential of crowdsourcing secondary materials as a means to democratize legal knowledge. In conclusion, this article emphasizes that Law-Specific LLMs, with proper development and ethical considerations, can revolutionize legal research and practice, while calling for active engagement from the legal community in shaping this emerging technology.
On August 30th each year the world is reminded that hundreds of thousands of people in at least 85 countries don’t know where their loved ones are, or even whether they are alive or dead. For the victims of enforced disappearance and their families, every day is the Day of the Disappeared. The unrelenting uncertainty and anguish of not knowing the truth of what has happened to their family member is a recognized form of torture for both the disappeared and their families. The crime of enforced disappearance cuts off the disappeared from any access to legal representation or judicial remedies – they are placed “outside all protection of the law.” “Rampant” global impunity for enforced disappearance has led the United Nations (UN) Secretary-General, António Guterres, and UN bodies to call on all countries to ratify or accede to the Convention for the Protection of all Persons against Enforced Disappearances (Convention or ICPPED). Catherine Morris brings much needed attention to the fact that of the UN’s 193 countries, only 72 have ratified or acceded to the Convention. Canada and the United States (US) are not yet among them. The unrelenting uncertainty and anguish of not knowing the truth of what has happened to their family member is a recognized form of torture for both the disappeared and their families. The crime of enforced disappearance cuts off the disappeared from any access to legal representation or judicial remedies – they are placed “outside all protection of the law.”
This semi-monthly column by Sabrina I. Pacifici highlights news, government reports and industry white papers as well as academic papers on the subject of AI’s fast paced impact on the banking and finance sectors. The chronological links provided are to the primary sources, and as available, indicate links to alternate free versions. Each entry includes the publication name, date published, article title and abstract. Four highlights from this week: Are Large Language Models Finance’s Second Shot At AI?; Convergence of AI and blockchain: Unlocking new possibilities; Generative AI in Operational Risk Management: and Generative AI in Operational Risk Management: Harnessing the Future of Finance.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: Potential New York Times lawsuit could force OpenAI to wipe ChatGPT and start over; Health Data Breach Lawsuits Surge as Cyberattacks Keep Climbing; Biden administration unveils new crypto tax reporting rules; and Imposter scams are the top U.S. fraud.
Kevin Novak sets the table with his opening statement: Whatever you think about the U.S. government or our elected officials, it does have guardrails in place to protect its citizens. For pharma and food products, it’s the FDA. For workplace safety there’s OSHA. For mobility safety, it’s the Department of Transportation. For safe investments, there’s the SEC. For consumer protection, there’s the Federal Trade Commission. For AI and emerging tech, there’s nothing.
Jerry Lawson recommends the new book, Design Your Law Practice: Using Design Thinking To Get Next Level Results, to any law firm or lawyer interested in innovation that will make their practice more profitable and attract more clients.
Investigative data journalist Jon Keegan and former tech lawyer Linda Woods Hyman teach you how to spot tricks and hidden disclosures within these interminable documents—and even how to claw back some privacy.
If you spend any time online, you probably have some idea that the digital ad industry is constantly collecting data about you, including a lot of personal information, and sorting you into specialized categories so you’re more likely to buy the things they advertise to you. But in a rare look at just how deep—and weird—the rabbit hole of targeted advertising gets, Investigative Data Journalist Jon Keegan and Visualizations Engineer Joel Eastwood of the The Markup analyzed a database of 650,000 of these audience segments, newly unearthed on the website of Microsoft’s ad platform Xandr. The trove of data indicates that advertisers could also target people based on sensitive information like being “heavy purchasers” of pregnancy test kits, having an interest in brain tumors, being prone to depression, visiting places of worship, or feeling “easily deflated” or that they “get a raw deal out of life.”
Prof. Stefanie Lindquist elucidates a critical fact respective to the Trump indictment. All U.S. citizens are actually citizens of two separate governments: They are citizens of the United States as well as citizens of the state in which they live. And they are subject to two systems of law as a result.