Daniel Martin Katz

Professor Katz is a scientist, technologist and professor who applies an innovative polytechnic approach to teaching law - to help create lawyers for today's biggest societal challenges. Both his scholarship and teaching integrate science, technology, engineering, and mathematics.

Professor Katz's forward-thinking ideas helped to earn him acknowledgement among the Fastcase 50, an award which "recognizes 50 of the smartest, most courageous innovators, techies, visionaries, and leaders in the law." He was also named to the American Bar Association Journal's "Legal Rebels," a prestigious group of change leaders in the legal profession.

Professor Katz teaches Practice & Professionalism, E-Discovery, Legal Analytics, Legal Project Management + Legal Process Improvement and Civil Procedure at Chicago-Kent and spearheads new initiatives to teach law students how to leverage technology and entrepreneurship in their future legal careers. He joined Chicago-Kent in 2015 from Michigan State University College of Law, where he co-founded the ReInvent Law Laboratory, an innovative multi-disciplinary center that focused on the intersection of entrepreneurship, informatics, programming and design thinking to better understand, analyze and design the law.

Professor Katz has published or forthcoming work in a wide variety of academic outlets, including Science, Plos One, Journal of Statistical Physics, Artificial Intelligence & Law and Physica A. In addition, his work has been published in legal journals including Cornell Journal of Law & Public Policy, Emory Law Journal, Virginia Tax Review, Iowa Law Review, Illinois Law Review, Ohio State Law Journal, Journal of Law & Politics, and Journal of Legal Education. Professor Katz is currently working on two book projects including an edited volume entitled Legal Informatics (Cambridge University Press - 2019 Forthcoming) and a book on technology + innovation in law.

His work has been highlighted in a number of media outlets, including the New York Times, The Wall Street Journal, Financial Times, BBC Radio, Wired, Vox, National Public Radio, Slate Magazine, Huffington Post, 538, Bloomberg Businessweek, ABA Journal, Law Technology News and The American Lawyer.

Professor Katz is an external affiliated faculty at CodeX—The Stanford Center for Legal Informatics. In addition to teaching and researching, Professor Katz serves as an editor of the International Journal of Law and Information Technology (Oxford University Press) and as 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 a member of the ABA Task Force on Big Data and the Law.

Professor Katz is actively involved in the rapidly growing legal technology industry. He is the Co-Founder & Chief Strategy Officer of LexPredict (a legal technology and analytics company that was acquired by Elevate in 2018). He also serves as a formal and informal advisor to a number of legal tech startups. In addition, he is a member of the advisory board of NextLaw Labs - a global collaborative innovation ecosystem organized with Dentons (the world’s largest law firm).

Professor Katz 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 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. During his graduate studies, 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.

Education

• Ph.D. Political Science & Public Policy, University of Michigan (2011)
• J.D. University of Michigan Law School (2005)
• M.P.P. Ford School of Public Policy, University of Michigan (2005)
• B.S. University of Oregon (2000)

Research Interests

Research Interests include machine learning & natural language processing, complex systems, legal & regulatory complexity, financial regulation, legal technology, financial technology, law & economics, quantitative finance, network science, decision science, quantitative modeling of litigation and jurisprudence, legal informatics, economics of the professions, blockchain & crypto infrastructure, artificial intelligence, artificial intelligence & law and the overall impact of information technology, analytics and automation on the future of society.