discovery connect success story

Meeting Tight Case Deadline At Reduced Costs


Up against a fast-approaching data discovery deadline, the legal team received roughly 1.4 million documents that needed to be reviewed prior to production.


Using one of predictive analytics tools within Recurve Discovery Connect, a Continuous Active Learning (CAL) model was developed based on previous issue coding in the same matter, and then it was refined several times using conceptual searching and machine learning.


These efforts resulted in a 72% reduction in the number of documents that needed to be reviewed for production. This volume reduction combined with advantageous pricing from one of the document review partners associated with Recurve Discovery Connect allowed the team to meet its production deadline, achieve an above-goal QC rate, and save the client over $900,000 in review costs.