Ryan Copus

Ryan Copus
Associate Professor of Law
School of Law

Contact Info
Empirical Legal Studies, Machine Learning, Causal Inference, Civil Procedure, Federal Courts, Judicial Decision-Making


Ryan Copus joined the University of Missouri-Kansas City School of Law in 2020. His research focuses on technically and ethically responsible ways to apply the power of machine learning/AI to the study and regulation of legal decision-making, with a particular focus on civil and appellate procedure and judicial administration. He teaches Civil Procedure as well as Law, Technology, and Public Policy. Prior to joining the faculty, Professor Copus taught Legal Research and Writing as a Climenko Fellow at Harvard Law School.

Professor Copus graduated from Harvard Law School in 2007. After clerking for the Honorable David C. Godbey of the United States District Court for the Northern District of Texas and practicing as litigation associate for Goodwin Procter LLP., he completed his Ph.D. at Berkeley Law School’s Jurisprudence and Social Policy Program in 2017, with specialization in law and economics. His dissertation, “Machine Learning and the Reliability of Adjudication,” developed predictive models of decision-making in the United States Court of Appeals for the Ninth Circuit Court and the California Board of Parole Hearings, using them to investigate the promises and limitations of algorithm-assisted justice.