We build open source tools used at Harvard and beyond that preserve and expand access to knowledge.
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Perma.cc helps scholars, journals, courts, and others create permanent records of the web sources they cite.
H2O Open Casebook
H2O is a platform for creating, sharing, and remixing open course materials.
Caselaw Access Project
The Caselaw Access Project offers free, public access to over 6.5 million decisions published by state and federal courts throughout U.S. history.
Read our staff bios on the LIL website.
Sankalp Bhatnagar gained his first exposure to legal design in a seminar on law, justice, and design at Harvard Law School, after which he taught and led efforts to advance the field and its directions at Northeastern University School of Law. He is joining the Library Innovation Lab as a research fellow for the academic year to carry out a new project in partnership with NuLawLab, where he is a senior researcher and has previously been a research resident. Sankalp is designing a workbook of exercises for people in the future tasked with crafting and choosing between legal alternatives by cataloging the capabilities of great lawyers and judges in the past.
LIL Blog Posts
LLMs are universal translators: on building my own translation tools for a foreign language conference
Here is a picture of the Statue of Liberty doing a TikTok dance, as painted by van Gogh, as interpreted by ChatGPT. This is very relevant to my point and we’ll come back to it. One of the best ways to think about large language models is as universal, personal translators. When I gave […]
November 29, 2023
Conference talk: disruptive innovation in libraries
This piece is adapted from a keynote talk I gave at Innovación y Experiencia del Usuario at Universidad Católica de Argentina on November 1, 2023. I was asked to give a talk on the subject of “disruptive innovation in libraries,” which isn’t necessarily the phrase I would choose to describe our work, but I […]
November 28, 2023
AI Book Bans: Testing LLMs Against the Freedom to Read
What happens when large language models are asked to provide justifications for book bans? Do the same built-in guardrails that prevent them from generating pipe-bomb recipes kick in, or do models do their best to comply with the user’s request? How do models go about providing such justifications while navigating their “knowledge” of library […]
September 25, 2023