Eric's research lies at the intersection of law, language, cognition, and AI. He investigates how humans and machines understand and interpret law, and what those findings mean for questions of legal doctrine and policy. His scholarship complements traditional doctrinal analysis with empirical methods, including computational modeling, behavioral experiments, and neuroimaging.
His work has been published or is forthcoming in Proceedings of the National Academy of Sciences (PNAS), Georgetown Law Journal, Journal of Experimental Psychology: General, Artificial Intelligence and Law, Cognition, and Harvard Journal of Law & Technology, as well as in volumes from Cambridge University Press and Oxford University Press, among other venues.
Eric holds a Ph.D. in Cognitive Science from MIT, a J.D. from Harvard Law School, and a B.A. from Florida State University. Before joining Texas A&M University School of Law, he was the Earl B. Dickerson Fellow and Instructor in Law at the University of Chicago Law School, and he is a co-founder and board member of the Institute for Law & AI.
