Introduction
Morgan A. Gray is an Assistant Professor at the University of St. Thomas School of Law (Minnesota). His research lies at the intersection of artificial intelligence, natural language processing, machine learning, and law, with a particular focus on automated systems of legal argumentation, computational models of legal reasoning, case-based argumentation and reasoning, and legal text analytics. His work explores how AI systems can support legal analysis, improve access to justice, and assist litigants and lawyers in decision-making.
Professor Gray's scholarship has appeared in leading AI and law venues, including Artificial Intelligence and Law, Philosophical Transactions of the Royal Society A, and the proceedings of the International Conference on Artificial Intelligence and Law (ICAIL) and the International Conference on Legal Knowledge and Information Systems (JURIX).
He received his J.D. from the Thomas R. Kline School of Law of Duquesne University and is completing his Ph.D. in the Intelligent Systems Program at the University of Pittsburgh, where his dissertation focuses on hybrid systems for inference and generation in case-based legal argumentation. Prior to joining the University of St. Thomas, he served as a judicial law clerk on the Pennsylvania Commonwealth Court and taught as an adjunct professor at Duquesne Law. He is a member of the Pennsylvania bar.