Continuous Active Learning Buyer Case Study: Catalyst and a Top 100 Law Firm
This IDC Buyer Case Study examines how a global law firm (the Firm) is using Catalyst's Insight Predict, an advanced technology-assisted review (TAR) solution, to gain efficiencies during legal review processes and create additional value for its clients. Insight Predict has a distinctive take on TAR, utilizing learning algorithms and cloud-based infrastructure that has been custom designed to support the heavy computational requirements of a continuous active learning (CAL) protocol.
Today, the Firm would implement Insight Predict during future matters and where appropriate.Please Note: Extended description available upon request.
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