Category Archives: Big Data
Technology-Assisted Review in E-Discovery Can Be More Effective and Efficient Than Exhaustive Manual Review, by Maura Grossman and Gordan Cormack
Maura Grossman and Gordan Cormack oppose the traditional view that manual, personal review of data by experts is more effective than automated e-discovery. While the efficiency benefits of automated e-discovery are immediately obvious, Grossman and Cormack draw upon recent research … Continue reading
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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 … Continue reading
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