Is better case law data fueling a legal research boom? Recently, Rebecca Fordon noticed a surge of new and innovative legal research tools. Fordon wondered what could be fueling this increase, and set off to find out more.
The pace of generative AI development (and hype) over the past year has been intense, and difficult even for us experienced librarians, masters of information that we are, to follow. Not only is there a constant stream of new products, but also new academic papers, blog posts, newsletters, and more, from people evaluating, experimenting with, and critiquing those products. With that in mind, Rebecca Fordon shares her favorites, as well as recommendations from her co-bloggers.
Hallucinations in generative AI are not a new topic. If you watch the news at all (or read the front page of the New York Times), you’ve heard of the two New York attorneys who used ChatGPT to create fake cases entire cases and then submitted them to the court. After that case, which resulted in a media frenzy and (somewhat mild) court sanctions, many attorneys are wary of using generative AI for legal research. But vendors are working to limit hallucinations and increase trust. And some legal tasks are less affected by hallucinations. Law Librarian and attorney Rebecca Fordon guides us to an understanding of how and why hallucinations occur and how we can effectively evaluate new products and identify lower-risk uses.
What is RSS and how do federal courts use it? Rebecca Fordon informs us that courts vary in the types of documents they provide via RSS feeds – only about 70% of bankruptcy courts and 50% of district courts provide full feeds. The effort urging courts to fully enable RSS feeds has many advocates and would have a significant positive impact for legal researchers in all sectors.