Generative AI Resources for Berkeley Law Faculty & Staff

In response to the tidal wave of generative AI news, we’ve compiled recent resources on generative AI use in law school and legal practice for faculty and staff.  Given the rapid changes in this space, these resources will be regularly updated (last update – 12/7/23).

Other Berkeley Law generative AI information:

Generative AI Has Arrived

Generative AI is a form of artificial intelligence that uses multi-layer neural networks to generate novel content, including text, prose, computer code, images, and video. Generative AI tools that have been trained on massive amounts of text data to produce human-like text and answers, such as ChatGPT, are referred to as large language models (LLMs).  

The November 2022 public release of ChatGPT ushered in a new AI era that has been described as a Promethean moment and a “tipping point for AI”. ChatGPT, which now has an estimated 100 million weekly users, set off a race among tech giants to jump in with similar technologies, including Bard and Duet AI (Google), CoPilot/Bing (Microsoft, powered by ChatGPT), Claude (Anthropic), Llama 2 (Meta), Grok (xAI), and Q (Amazon).

Generative AI Basics

Generative AI in Higher Education

Generative AI in Law School 


AI Detection Tools 

Legal Research & Writing

Legal Scholarship


Legal Research platforms

Other AI Tools To Keep an Eye On

  • Claude 2 (Claude 2 can analyze up to 75,000 words uploaded from PDF, TXT, or CSV files; users can limit Claude to answering queries based on a closed universe of uploaded documents)
  • Humata.AI (allows upload of documents; answers questions and shows highlights directly inside the source material)

Generative AI in Legal Practice

Other Noteworthy Generative AI News

Other Resources


  • LawSites, Bob Ambrogi (while not focused on just AI, Ambrogi is a leading voice in legal tech)
  • Brainyacts Generative AI Newsletter, Josh Kubicki (University of Richmond School of Law) (daily blog on AI in law school and legal practice, with examples and news highlights)
  • AI Snake Oil, Arvind Narayanan and Sayash Kapoor (“what makes AI click, what makes it fail, and how to tell he difference”)
  • SAIL: Sensemaking AI Learning (“explores trends in human and artificial cognition, focusing on how sensemaking and learning are impacted by AI”)