Austin Peters

Austin Peters

Harry A. Bigelow Teaching Fellow, Lecturer in Law

Austin Peters is a Bigelow Teaching Fellow and Lecturer in Law at the University of Chicago. His research uses artificial intelligence (e.g., large language models), machine learning, and other data science tools to study various topics within civil procedure and statutory interpretation. His scholarship has appeared in law reviews (e.g., Northwestern University Law Review and University of Pennsylvania Law Review) and computer science proceedings (e.g., DEEM and NeurIPS).

Before starting as a Bigelow Fellow, Austin clerked for Judge Kevin C. Newsom of the United States Court of Appeals for the Eleventh Circuit.

Austin holds a PhD in Political Science and a JD from Stanford University. He earned a BA in Political Science from the University of California, San Diego.

Education

Stanford University

PhD, Political Science, 2023

JD, 2023

University of California San Diego

BA in Political Science, magna cum laude with Highest Honors, 2015

Experience

Stanford Law School

Non-Resident Fellow, Deborah L. Rhode Center on the Legal Profession, 2023-present

Eleventh Circuit Court of Appeals

Law Clerk to Judge Kevin C. Newsom, 2023-2024

Palantir Technologies

In-House Legal Intern, June 2020-August 2020

American Enterprise Institute

Research Assistant for Arthur C. Brooks, 2015-2017

 

Journal Articles

  • "Shedding Light on Secret Settlements: An Empirical Study of California's STAND Act," 92 University of Chicago Law Review 103 (2025) (with David Freeman Engstrom, Nora Freeman Engstrom, Jonah Gelbach & Garrett Wen). www
  • "An Empirical Study of California's STAND Act," __ University of Chicago Law Review __ (2025) (Forthcoming) (with David Freeman Engstrom, Nora Freeman Engstrom, Jonah Gelbach & Garrett Wen).
  • "tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models," 2024 PROCEEDINGS OF THE EIGHTH WORKSHOP ON DATA MANAGEMENT FOR END-TO-END MACHINE LEARNING 12 (2024) (with Tim Daj, Jonah Gelbach, David Freeman Engstrom & Daniel Khang). www
  • "Are They All Textualists Now?," 118 Northwestern Law Review 1201 (2024). www
  • "Secrecy by Stipulation," 74 Duke Law Journal 99 (2024) (with Nora Freeman Engstrom, David Freeman Engstrom, Jonah Gelbach & Aaron Schaffer-Neitz). www
  • "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models," 36 Advances in Neural Information Processing Systems 44123 (2023) (with Adam Chilton, Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Aditya Narayana, Alex Chohlas-Wood & et al.). www
  • "Private Enforcement in the States," 172 University of Pennsylvania Law Review 61 (2023) (with Diego A. Zambrano, Neel Guha & Jeffrey Xia). www

Book Sections

  • "Quality Assurance for Agency Adjudication," in A GUIDE TO FEDERAL AGENCY ADJUDICATION, Jeremy Graboyes ed. (American Bar Association, 2023) (with Daniel E. Ho, Gerald Ray & David Marcus).
  • Conference on Empirical Legal Studies, Private Enforcement in the States (2023)
  • Conference on Empirical Legal Studies, Measuring Textualism in Judicial Opinions Using Supervised Machine Learning (2023)
  • Stanford Faculty Workshop, Private Enforcement in the States (2023)
  • Conference on Data Science and Law, Textualism in the Federal Courts of Appeals: Empirical Study (2023)
  • Civil Procedure Workshop, Private Enforcement in the States (2023)