Justin Curl
I am a third-year J.D. Candidate at Harvard Law School writing about the intersection of AI and Law.
Previously, I advised the MacArthur Foundation on its AI grantmaking strategy and served as the Technology Law & Policy Advisor to the New Mexico Attorney General. I was also a summer associate at Wachtell, Lipton, Rosen & Katz and an AI research intern at Microsoft Research Asia.
I earned an MSc in global affairs from Tsinghua (Schwarzman Scholar) and a BSE with high honors in computer science from Princeton, where I was fortunate to be advised by Arvind Narayanan.
For past papers and projects, see below!
Regulating AI Harms: A Primer for Policymakers
Lawfare Research Series (forthcoming 2026)
California Enacted AI Bills. Now Officials Must Define Them.
Lawfare (2025)
A Blueprint for Auditing Generative AI
Research Handbook on Law of Artificial Intelligence (2d ed. 2025)
A Financial Primer on a New International AI Organization
Lawfare (2024)
Policy Comment on Democracy and Generative AI
President's Council of Advisors on Science and Technology (2023)
Decoding China's Ambitious Generative AI Regulations
Princeton Center for Information Technology Policy (2023)
What could advanced AI mean for the practice of law?
AI as Normal Technology & Lawfare (forthcoming 2026)
AI is just starting to change the legal profession
Understanding AI (2026)
Judges Shouldn't Rely on AI for the Ordinary Meaning of Text
Lawfare (2025)
Foreseeably Discriminatory: Modernizing the Equal Protection Clause for AI Systems
Harvard Journal of Law & Technology (2025)
Meaning Beyond Numbers: Introducing the Plot Staircase to Measure Graphical Preferences
Political Analysis (2025)
Judging Binary Searches: Four Essential Questions
Privacy Law Scholars Conference (2025)
Societal Impacts and Opportunities of Federated Learning
Chinese Journal of Sociology (2025)
Defending ChatGPT against Jailbreak Attack via Self-Reminder
Nature Machine Intelligence (2023)