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As Seen in Vox: This Computer Program Can Predict 7 Out of 10 Supreme Court Decisions

By now, political scientists have gotten pretty good at predicting the outcomes of national elections in the United States, especially presidential elections. The fact of the matter is that fundamentals-based modeling ahead of time and polls-based modeling as an election draws nearer result in very accurate predictions of how a given electoral season is going to shake out. No one can predict court cases with the same accuracy, yet, but Michigan State's Daniel Martin Katz has helped to build a model that comes close. 

As Seen in NY Times: This Is Law School? Socrates Takes a Back Seat to Business and Tech

The students are pitching. On a spring afternoon at Michigan State University, 15 law students are presenting start-up proposals to a panel of legal scholars and entrepreneurs and an audience of fellow students. The end-of-semester event is one part seminar and one part “Shark Tank” reality show.

Daniel Martin Katz is an Associate Professor of Law at Michigan State University

Daniel Martin Katz is an Associate Professor of Law at Michigan State University

Dan Katz in Inc. Magazine: Law Schools Catch the Startup Bug

To prepare students to find careers in a market oversaturated with people with law degrees, the schools are making entrepreneurship part of their curriculum. Read the full article.

Dan Katz Study Featured in WIRED

Read a review of Dan's working paper, Measuring the Complexity of the Law, featured in WIRED Science Blogs. 


Computational Legal Studies

The Development of Structure in the Citation Network of the United States Supreme Court.

Innovation in the Legal Industry – The Future is Already Here, It is Just Not Evenly Distributed

Dan Katz discusses the difficulty facing a new era of law professionals with an eye on the future. More videos on the future of law and legal informatics are available on the ReInvent Law Channel