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 – 5/24/24).

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 was described as a Promethean moment and a “tipping point for AI”. The launch of ChatGPT set off a race among tech giants to jump in with similar technologies, including Gemini (Google), CoPilot (Microsoft, powered by ChatGPT), Claude (Anthropic), Llama  (Meta), Grok (xAI), and Q (Amazon). 

Top GenAI News

Upcoming GenAI Events/Webinars

Generative AI Basics & General Tools

Generative AI in Education

Generative AI in Higher Education

Generative AI in Law School 


AI Detection Tools 

Legal Research & Writing

Legal Scholarship


Legal Research platforms

Generative AI in Legal Practice

Access to Justice

Other Resources


  • One Useful Thing, Ethan Mollick (“a research-based view on the implications of AI”)
  • LawSites, Bob Ambrogi (while not focused on just AI, Ambrogi is a leading voice in legal tech)
  • Brainyacts Generative AI Newsletter, Josh Kubicki (daily blog on AI in law school and legal practice, with examples and news highlights)
  • AI Law Librarians  (“All Things AI Law Librarian-ish, Generative AI, and Legal Research/Education/Technology”)
  • 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”)