Associate Professor of Law, Illinois Tech – Chicago Kent College of Law; Director of The Law Lab, Illinois Tech – Chicago Kent College of Law
Daniel Martin Katz is an Associate Professor of Law at Illinois Tech – Chicago Kent College and the Director of The Law Lab at Illinois Tech. His research interests include legal informatics, big data and the law, quantitative finance, lawyer regulation, quantitative modeling of litigation and jurisprudence, law & entrepreneurship, computational legal studies, economics of the legal profession, positive legal theory, technology aided access to justice, legal complexity and the overall impact of information technology, analytics and automation on the market for legal services.
Dan has been named both an ABA Journal Legal Rebel and a member of the Fastcase 50 – an award which “recognizes 50 of the smartest, most courageous innovators, techies, visionaries, and leaders in the law.” He is an Editor of the International Journal of Law and Information Technology (Oxford University Press) and a member of the Editorial Board of the Journal of Artificial Intelligence & Law (Springer Scientific). He serves on the Editorial Advisory Board for Law Technology News and is also a member of the ABA Task Force on Big Data and the Law.
Dan is the Co-Founder and Chief Strategy Officer at LexPredict – a legal analytics company. He is also an avid blogger and his posts can be found at ComputationalLegalStudies.com.
Dan received his Ph.D. in Political Science and Public Policy with a focus on Complex Adaptive Systems from the University of Michigan. He graduated with a Juris Doctor (JD) cum laude from the University of Michigan Law School and simultaneously obtained a Master of Public Policy from the Gerald R. Ford School of Public Policy at the University of Michigan. While at the University of Michigan, he was a fellow in Empirical Legal Studies at the University of Michigan Law School and a National Science Foundation IGERT Fellow at the University of Michigan Center for the Study of Complex Systems.