Quantitative Legal Prediction – or – How I Learned to Stop Worrying and Start Preparing for the Data Driven Future of the Legal Services Industry

Daniel Martin Katz notes that lawyers are constantly asked to make predictions concerning exposure, costs, potential benefits, and much more. While experiential knowledge is certainly useful for making more accurate predictions, Katz argues that software-based quantitative legal prediction tools are an emerging and viable improvement upon the lawyers’ more traditional methods of prediction. Katz believes that law firms and schools should closely examine quantitative legal prediction tools if they are to thrive in the data-driven future of the legal services industry.

Quantitative Legal Prediction – or – How I Learned to Stop Worrying and Start Preparing for the Data Driven Future of the Legal Services Industry, by Daniel Martin Katz, Michigan State University – College of Law (2012).

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