Legal Telescopes, New Ways of Seeing Law at Scale

How can large language models (LLMs) transform the way lawyers, researchers, and the public interact with the law? Join us for a hands-on conversation about the potential of LLMs to make sense of complex legal text, statutes, opinions, contracts, and more. Neel Guha will demonstrate new tools for searching and analyzing legal data at scale, including LLM-powered systems for both structured legal analysis and open-ended exploration of massive statute collections.

Lunch will be provided.

Part of the AI Governance Speaker Series co-sponsored by AISST and the HLS AI Law Association (AIA).

Speaker

Neel Guha is a final year PhD candidate in computer science at Stanford. His doctoral work on building and evaluating machine learning systems for legal applications has been widely used across the legal technology sector. He has also written extensively on AI governance, including on healthcare AI liability and AI regulatory design. He received a J.D. from Stanford Law School, where he served as Senior Articles Editor for the Stanford Law Review.