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By Greg Buckles

The hype cycle around Predictive Coding/Technology Assisted Review (PC/TAR) has focused around court acceptance and actual review cost savings. The last couple weeks have seen a bit of blogging kerfuffle over the conclusions, methods and implications of the new study by Gordon Cormack and Maura Grossman, “Evaluation of Machine-Learning Protocols for Technology-Assisted-Review in Electronic Discovery”. Pioneering analytics guru Herbert L. Roitblat of OrcaTec has published two blogs (first and second links) critical of the study and its conclusions.  As much as I love a spirited debate and have my own history of ‘speaking truth’ in the public forum, I can’t help wondering if this tussle over Continuous Active Learning (CAL) vs. Simple Active Learning (SAL) has lost view of the forest while looking for the tallest tree in it.

 

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