How can large language models (LLMs) trans form 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 sen se 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 an d open-ended exploration of massive statute collections.
Lunc h will be provided.
Part of the AI Governance Speake r Series co-sponsored by AISST and the HLS AI Law Association (AIA).
Neel Guha is a final year PhD candidate in compute r science at Stanford. His doctoral work on building and evaluating machine learning systems for legal applications has been widely used across the le gal technology sector. He has also written extensively on AI governance\, i ncluding 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.
CATEGORIES:Speaker/Panel LOCATION:Lewis Hall\, 5th floor at the Berkman Klein Center's Multi-Purpose Room 515 GEO:0.000000;0.000000 ORGANIZER;CN="Brigitte Fink":MAILTO:brfink@law.harvard.edu URL;VALUE=URI:https://hls.harvard.edu/events/legal-telescopes-new-ways-of-s eeing-law-at-scale/ ATTACH;FMTTYPE=image/jpeg:https://hls.harvard.edu/wp-content/uploads/2026/02/Telescopes.png.jpeg END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20251102T060000 TZNAME:EST END:STANDARD END:VTIMEZONE END:VCALENDAR