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.
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