Case Study Details How a Major Bank Used Catalyst’s Insight Predict to Cut Its Production Review by 94%

In his 2015 opinion in Rio Tinto PLC v. Vale SA, Magistrate Judge Andrew Peck extolled the benefits of technology assisted review using Continuous Active Learning. In particular, he noted that CAL reduces or even eliminates the need for the rigid seed set required by older TAR methods.

CAL’s flexibility on seed sets was illustrated in a case where a large banking institution alleged it lost millions due to a borrower’s accounting fraud. In response to the borrower’s production request, the bank faced review of 2.1 million documents, even after culling. With neither the time nor budget to review them all, the bank turned to Catalyst’s Insight Predict, the first commercial TAR engine to use CAL. Predict cut the review by 94%.

Read the case study to see how it was done >>

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About Bob Ambrogi

Bob is known internationally for his expertise in the Internet and legal technology. He held the top editorial positions at the two leading national U.S. legal newspapers, the National Law Journal and Lawyers USA. A long-time advisor to Catalyst, Bob now divides his time between law practice and media consulting. He writes two blogs, LawSites and MediaLaw, co-authors Law.com's Legal Blog Watch, and co-hosts the weekly legal-affairs podcast Lawyer2Lawyer. A 1980 graduate of Boston College Law School, Bob is a life member of the Massachusetts Bar Foundation and an active member of the Massachusetts Bar Association, which honored him in 1994 with its President's Award.