Litigation insights from Lex Machina®, the LexisNexis® Legal Analytics® platform, allow law offices to support their recommendations with data. Clients appreciate legal professionals who can...
By Chuan Qin and Adam Mills Masarek1 Los Angeles Superior Court has long served as one of the nation’s busiest and most influential trial courts. Over the last several years, however, one category...
For legal teams evaluating federal agency action, the Administrative Procedure Act, or APA, is a foundational statute. Often searched as “what is the administrative procedures act,” the APA...
Results from the Lex Machina ® 2026 Impact of Legal Analytics Survey show how deeply analytics have influenced modern litigation practice. In a survey of 207 law firm professionals in the U.S., respondents...
Commercial contract litigation arises when parties to a business agreement cannot resolve alleged breaches through negotiation or alternative dispute resolution. These disputes may involve payment disagreements...
* The views expressed in externally authored materials linked or published on this site do not necessarily reflect the views of LexisNexis Legal & Professional.
Lex Machina participated in the 2024 American Association of Law Libraries (AALL) Annual Meeting and Conference in Chicago, Illinois. The company showcased its newest enhancements of the product and facilitated discussions about the product with law librarians and those practicing in academia.
“We [engaged in] a lot of good conversations with current customers and prospects,” said Lex Machina Practice Area Specialist, Adam Masarek. “People really liked the new motion metrics report, specifically the motion chains for various motion types and how the visualization of the motion chains is not too much information to digest.”
He further stated, “People really liked our appellate outcomes, because what we have is deeper than other platforms out there.”
Lex Machina Principal Data Scientist, Becky Sharp, demoed an early preview of our trailblazer feature, a large language model that interprets a natural language query from an end user and takes him or her to the page in the product that best answers their query.
She stated, “My favorite part was the interactions with the audience and our users.” She further added, “Our users are awesome, well-informed, and full of great questions and suggestions; the atmosphere during and after the demo was one of both excitement as well as a sense of collaboration, which was so fun to experience.”