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 changing 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 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, Physica A and Artificial Intelligence & Law. In addition, his work has been published in legal journals including Emory Law Journal, Iowa Law Review, Illinois Law Review, Virginia Tax Review, Cornell Journal Of Law & Public Policy, Ohio State Law Journal, Journal Of Law & Politics, and Journal Of Legal Education.
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, The American Lawyer, California Lawyer, Cba National Magazine (Canada), Legal Futures (UK), Law Society Gazette (UK) and The Globe And Mail (Canada)
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, Michael Bommarito, Tyler Sollinger & James Ming Chen, Law on the Market? Evaluating the Securities Market Impact Of Supreme Court Decisions (Under Review) <SSRN> <arXiv>
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, Regulatory Dynamics Revealed by the Securities Filings of Registered Companies (Paper In Progress) < Slides >
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>
J.B. Ruhl, Daniel Martin Katz & Michael Bommarito, Harnessing Legal Complexity, 355 Science 1377 (2017) <Science>
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, The MIT School of Law? A Perspective on Legal Education in the 21st Century, 2014 Illinois Law Review 1431 (2014) <SSRN> <Slides>
Daniel Martin Katz & Michael Bommarito, Measuring the Complexity of the Law: The United States Code, 22 Journal of Artificial Intelligence & Law 1 (2014) <Springer> <SSRN> <Slides>
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>
Michael Bommarito & Daniel Martin Katz, A Mathematical Approach to the Study of the United States Code, 389 Physica A 4195 (2010) <SSRN> <arXiv>
Michael Bommarito, Daniel Martin Katz, Jonathan Zelner & James Fowler, Distance Measures for Dynamic Citation Networks 389 Physica A 4201 (2010) <SSRN> <arXiv>
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™
Why Predicting the Future is More than Just Horseplay (via Christian Science Monitor)
Opening Remarks at the Scotland Legal Hackers – Programming for Lawyers Event
IE LawX 2017 in Madrid – Presented by IE Law School in Collaboration Stanford CodeX
Law on the Market? Abnormal Stock Returns and Supreme Court Decision-Making (Version 2.01 on arXiv)
Presentation at Legal Innovation Event with Kennedy Van Der Laan and European General Counsels
Speech at the Dutch Legal Tech Meetup – Amsterdam
Lexpo 2017 Amsterdam – The Legal Innovation Event
The Machine Learning as a Service (#MLaaS) Ecosystem Grows … Bonsai as a #MLaaS Implentation Company
Harvard Law Seeks to Attract STEM Students
Presentation at Legal Tech Lecture Series — Bucerius Law School – Hamburg
Artificial Intelligence Prevails at Predicting Supreme Court Decisions (via Science / Science News)
Self-Taught Artificial Intelligence Beats Doctors at Predicting Heart Attacks (Via Science News / Plos One)
Management de Firmas En Latinoamérica – Miami Workshop with IE Law School Madrid
Daniel Martin Katz Named Fellow Elect of the College of Law Practice Management – Ceremony at 2017 Futures Conference in Atlanta, Georgia
A General Approach for Predicting the Behavior of the Supreme Court of the United States (PLOS One) – Final Version April 2017