Justin Curl
I write about tech diffusion, AI policy, and AI's impact on the practice and substance of law.
Previously, I advised Cognition on its AI policy efforts and the MacArthur Foundation on its AI grantmaking. I was also the Technology Law & Policy Advisor to the New Mexico Attorney General, a summer associate at Wachtell, and an AI research intern at Microsoft.
I earned a JD from Harvard (Ames Moot Court Finalist, honors), an MSc from Tsinghua (Schwarzman Scholar), and a BSE in computer science from Princeton (high honors), where I was fortunate to be advised by Arvind Narayanan.
For past papers and projects, see below! Or feel free to get in touch at justincurl13 at gmail dot com.
Projects
AI Policy (Law's Impact on AI)
The U.S. and China want the same things from AI
Asterisk Magazine (2026)
Mapping AI Policy: Where, Why, and How to Intervene
Institute for Law & AI (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)
AI's Impact on Law
AI Won't Automatically Make Legal Services Cheaper
AI is just starting to change the legal profession
Understanding AI (2026)
AI and Privilege After United States v. Heppner
Lawfare (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)
Talks
AI Policy and the Legal System [slides]
Yale Law School, Colloquium on Frontier AI Governance (2026)
Why AI Won't Revolutionize Law (At Least Not Yet)
Lawfare Daily (2026)
Understanding the AI Action Plan
Harvard Law School (2025)
The Role of State AGs in Tech Policy [slides]
Princeton University, Tech Policy: The Next Ten Years (2024)
Other Things I've Written About
Meaning Beyond Numbers: Introducing the Plot Staircase to Measure Graphical Preferences
Political Analysis (2025)
Revisiting the Binary Search Doctrine: 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)
Closing the Gap: Mitigating Performance Disparities without Diverse Training Data
Princeton Thesis (2022)