Colin.Doyle@lls.edu
Office: Burns 315
Telephone: 213-736-1148

I’m Colin Doyle, an Associate Professor of Law at Loyola Law School, Los Angeles. I use this website to collect, curate, and share my writing and my teaching materials.

My research focuses on law and emerging technology, particularly machine learning and artificial intelligence. One line of work leverages AI as a tool for novel critique of legal theory and practice. A second line of work uses AI as an object of study by empirically evaluating AI performance on legal tasks. This empirical work both unsettles prevailing assumptions about language-model reasoning capabilities and evaluation methodology and directly informs theoretical work that challenges longstanding beliefs and practices within law.

My scholarship has appeared in the ACM Conference on Fairness, Accountability, and Transparency, the Journal of Criminal Law and Criminology, and the Duke Law Journal Online. My research has been cited in federal and state court decisions, including the California Supreme Court’s landmark decision, In re Humphrey, that found the state’s money bail practices to be unconstitutional. I also write for a broader public audience with work appearing in The New York Times, The Appeal, and the New York Law Journal.

At Loyola Law School, I teach torts to first-year law students. I also teach two upper-level courses: a seminar called “Law, Algorithms, and Justice” and a doctrinal course on state constitutional law. The teaching materials for these courses are available to the public under the “Teaching” tab.

Before becoming a law professor, I was a Climenko Fellow at Harvard Law School and worked as a staff attorney at the Criminal Justice Policy Program at Harvard Law School. I received my J.D. magna cum laude from Harvard Law School, where I served as Articles Chair for the Harvard Law Review.

Download my CV.