Daniel Martin Katz
Associate Professor of Law
Professor Katz is a scientist, technologist and law professor who applies an innovative polytechnic approach to teaching law - to help create lawyers for today's challenging legal job market. Both his scholarship and teaching integrate science, technology, engineering, and mathematics.
Professor Katz's forward-thinking ideas helped to earn him acknowledgement in the 2013 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 2013 Class of "Legal Rebels," a prestigious group of change leaders in the legal profession.
Professor Katz teaches Civil Procedure, E-Discovery, Legal Analytics and Practice & Professionalism 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 the Emory Law Journal, Ohio State Law Journal, Iowa Law Review, Illinois Law Review, Virginia Tax Review, Cornell Journal of Law & Public Policy, Journal of Law & Politics, Journal of Legal Education, Artificial Intelligence & Law, and Physica A.
His work has been highlighted in a number of media outlets, including the New York Times, The Wall Street Journal, 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 Analytics company). He also serves as a formal and informal advisor to a large number of legal 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.
Working Papers + Projects
Daniel Martin Katz, Ron Dolin & Michael Bommarito, Legal Informatics, Cambridge University Press (2017 Forthcoming) (Edited Volume)
J.B. Ruhl, Daniel Martin Katz & Michael Bommarito, Complexity Science and Legal Systems, (Under Review) (Draft Available Upon Request)
Michael Bommarito & Daniel Martin Katz, Measuring the Temperature and Diversity of the U.S. Regulatory Ecosystem (Under Review) < SSRN > < arXiv >
Daniel Martin Katz, Michael Bommarito & Josh Blackman, Experts, Crowds & Algorithms: The Three Forms of Legal Prediction (Paper In Progress) < Slides >
Daniel Martin Katz & Michael Bommarito, Fin (Legal) Tech : Law's Future From Finance's Past (Project In Progress) < Slides >
Daniel Martin Katz & Michael Bommarito, Regulatory Microclimates Revealed by the Securities Filings of Publicly Traded Companies (Paper In Progress)
J.B. Ruhl & Daniel Martin Katz, Measuring, Monitoring, and Managing Legal Complexity, 101 Iowa Law Review 191 (2015) < SSRN >
Paul Lippe, Jan Putnis, Daniel Martin Katz & Ian Hurst, How Smart Resolution Planning Can Help Banks Improve Profitability And Reduce Risk, 3 Banking Perspective Quarterly 34 (2015) < SSRN >
Daniel Martin Katz, Quantitative Legal Prediction - or - How I Learned to Stop Worrying and Start Preparing for the Data Driven Future of the Legal Services Industry, 62 Emory Law Journal 909 (2013) < SSRN > < Slides >
Daniel Martin Katz, Joshua Gubler, Jon Zelner, Michael Bommarito, Eric Provins & Eitan Ingall, Reproduction of Hierarchy? A Social Network Analysis of the American Law Professoriate, 61 Journal of Legal Education 76 (2011) < SSRN > < Slides >
Daniel Martin Katz & Derek Stafford, Hustle and Flow: A Social Network Analysis of the American Federal Judiciary, 71 Ohio State Law Journal 457 (2010) < SSRN >
Marvin Krislov & Daniel Martin Katz, Taking State Constitutions Seriously, 17 Cornell Journal of Law & Public Policy 295 (2008) < SSRN >
Daniel Martin Katz, Institutional Rules, Strategic Behavior and the Legacy of Chief Justice William Rehnquist: Setting the Record Straight on Dickerson v. United States, 22 Journal of Law & Politics 303 (2006) < SSRN >
Computational Legal Studies™
Artificial Intelligence, Technology and the Future of Law ( University of Toronto Law Journal Symposium)
Measuring the Temperature and Diversity of the U.S. Regulatory Ecosystem – Bommarito + Katz – Presentation at Stanford CodeX on April 5th 2017
Distill: Supporting Clarity in Machine Learning (via Google Research Blog)
A Clickbaity Title but a More Reasonable Set of Content — The Robot Lawyer Thesis / Artificial Intelligence and Law in the New York Times
Artificial Intelligence and Law : A Six Part Primer – Professor Daniel Martin Katz (Updated Version 03.17.17)
LegalTech & Innovation Talks – March 16 at Skadden – ABA Techshow Week (The Chicago Legal Innovation + Technology MEETUP)
Seyfarth Grows Revenue, Profits as Lean Investment Pays Off (via The American Lawyer)
Thursday Keynote Presentation @ The ASU – Arkfeld E-Discovery Conference
Guest Post Over At Prawfsblawg — Complexity Mitigation Strategies for Law-Law Land
JPMorgan Software Does in Seconds What Took Lawyers 360,000 Hours (via Bloomberg)
Second Annual Vanderbilt Conference on Artificial Intelligence + Law
Neural Decision Trees (via arXiv.org)
MD Anderson Drops IBM Watson – A Setback For Artificial Intelligence In Medicine ?
Apple vs. Microsoft – Comparing the Innovation Signatures (via FastCoDesign)
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as Complex Systems – Professors Daniel Martin Katz + Michael J Bommarito