Kevin T. Frazier is the AI Innovation and Law Fellow at the University of Texas School of Law. Frazier graduated summa cum laude from the Roberts D. Clark Honors College at the University of Oregon, earned his JD and Order of the Coif recognition at the UC Berkeley School of Law, and completed his Master's of Public Administration at the Harvard Kennedy School. Following a clerkship with Chief Justice Mike McGrath of the Montana Supreme Court, Professor Frazier taught constitutional law, administrative law, and civil procedure at St. Thomas University College of Law and performed research with the Institute for Law and AI. Prior to pursuing his graduate education, Frazier worked for Oregon Governor Kate Brown, lobbied the Oregon State Legislature for a small nonprofit, and spent time at several tech companies, such as Google, Verily, and Cloudflare.
Frazier’s research focuses on artificial intelligence, innovation policy, and regulatory design. He has published with leading law journals such as the Tennessee Law Review, the Rutgers Law Review, the Chapman Law Review, and the Fordham Intellectual Property, Media & Entertainment Law Journal. Frazier has also penned dozens of essays analyzing AI policy for Lawfare, Reason, AI Frontiers, the MIT Tech Review, and the Dispatch.
In addition to his written work, Frazier analyzes key AI regulatory questions in his roles as co-host of the Scaling Laws podcast and as a Senior Editor with Lawfare.