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16 Stan. Tech. L. Rev. 503 (2012-2013)
Using Algorithmic Attribution Techniques to Determine Authorship in Unsigned Judicial Opinions

handle is hein.journals/stantlr16 and id is 500 raw text is: STANFORD TECHNOLOGY LA WREVIEW VOLUME 16, NUMBER 3 SPRING 2013 USING ALGORITHMIC ATTRIBUTION TECHNIQUES TO DETERMINE AUTHORSHIP IN UNSIGNED JUDICIAL OPINIONS William Li,* Pablo Azar,* David Larochelle,* Phil Hill,* James Cox,* Robert C. Berwick,* & Andrew W. Lo* t CITE AS: 16 STAN. TECH. L. REv. 503 (2013) ABSTRACT This Article proposes a novel and provocative analysis ofjudicial opinions that are published without indicating individual authorship. Our approach provides an unbiased, quantitative, and computer scientific answer to a problem that has long plagued legal commentators. * William Li is a PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and a 2012 graduate of the Technology and Policy Program at the Massachusetts Institute of Technology (MIT). * Pablo Azar is a PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). * David Larochelle is an engineer at the Berkman Center for Internet & Society at Harvard University. * Phil Hill is a Fellow at the Berkman Center for Internet & Society at Harvard University and a 2013 J.D. Candidate at Harvard Law School. * James Cox was an associate with Jenner & Block LLP during drafting of this Article, and currently serves as an attorney for the United States government. Robert C. Berwick is Professor of Computational Linguistics and Computer Science and Engineering in the Departments of Electrical Engineering and Computer Science and Brain and Cognitive Sciences, MIT. * Andrew W. Lo is the Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management, Principal Investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), and a joint faculty in the MIT Electrical Engineering and Computer Science Department. T We thank John Cox at MIT, Andy Sellars and Ryan Budish at the Berkman Center, and Philip C. Berwick at the Washington University in St. Louis Law School for their invaluable feedback, and Jayna Cummrings for editorial assistance.

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