[Update 20 April 2011: Click here for video of the panel containing this presentation. Click here for videos of the entire NELIC conference. HT @LSNTAP.]
Daniel Martin Katz, of the University of Michigan’s Center for the Study of Complex Systems and Computational Legal Studies, has posted Quantitative Legal Prediction, slides from his presentation at NELIC 2011: The New and Emerging Legal Infrastructures Conference, held 15 April 2011 at Boalt Hall, Berkeley, California, USA.
The presentation describes a model for the automatic generation of legal memos describing possible outcomes of a client’s case, along with statistical representations of similar legal cases. The inputs identified by the model include digital collections of publicly available legal information, such as PACER / RECAP data, and other data discussed in connection with the Law.gov legal open government data project.
Tags: Artificial intelligence and law, Automatic creation of legal documents, Automatic creation of legal memoranda, Automatic creation of legal memos, Computation Legal Studies, Daniel Martin Katz, Disintermediation of lawyers, Free access to law, Law.gov, NELIC, NELIC 2011, New and Emerging Legal Infrastructures Conference, PACER, Public access to legal information, Quantitative legal prediction, RECAP, Statistical methods in legal informatics, Statistical modeling of court decisions, Statistical modeling of legal information, Statistical modeling of similar court decisions, Statistical modeling of statutes