LLMs for Legal Tasks: Best Practices [Guest Post]
This AI Best Practices guide is graciously shared by Damien Riehl of vLex.com.
More than a year after OpenAI released ChatGPT in November 2022, the legal industry is still finding ways to use Large Language Models (LLMs) in their work. This white paper gives an overview of the best ways to use LLMs in legal tasks, considering both the challenges and benefits.
You can access the complete guide here.
About the Author:
Damien Riehl is a lawyer and technologist with experience in complex litigation, digital forensics, and software development. A coder since 1985 and for the web since 1995, Damien clerked for the chief judges of state and federal courts, practiced in complex litigation for over a decade, has led teams of cybersecurity and world spanning digital forensics investigations, and has led teams in legal-software development. Co-Chair of the Minnesota Governor’s Council on Connected and Automated Vehicles, he has helped recommend changes to Minnesota statutes, rules, and policies — all related to connected and autonomous vehicles. Damien is Chair of the Minnesota State Bar Association’s working group on AI and the Unauthorized Practice of Law (UPL). At SALI, the legal data standard he helps lead, Damien develops and has greatly expanded the taxonomy of over 14,000 legal tags that matter, helping the legal industry’s development of Generative AI, analytics, and interoperability. At vLex Group — which includes Fastcase, NextChapter, and Docket Alarm — Damien helps lead the design, development, and expansion of various products, integrating AI backed technologies (e.g., GPT) to improve legal workflows and to power legal data analytics.
VIEWS AND CONCLUSIONS EXPRESSED IN ARTICLES HEREIN ARE THOSE OF THE AUTHORS AND NOT NECESSARILY THOSE OF FLORIDA BAR STAFF, OFFICIALS, OR BOARD OF GOVERNORS OF THE FLORIDA BAR.