The investigation spanned three jurisdictions and required the analysis of custodians’ data amounting to more than 5000 GBs and over 10 million documents hosted on multiple client databases.

The challenges lied in identifying key facts while meeting the regulator’s deadlines for production. The best way to efficiently identify relevant information while reducing costs was to develop a defensible predictive model, leveraging technology assisted review (TAR) to identify key documents for investigative and production purposes, with minimal linear review.

This case study illustrates how the team leveraged technology to overcome the challenges of finding relevant information by reducing the number of documents requiring eyes-on review by 95% and saving $4 million.