Expanding TAR to become Predictive Discovery
Relevance and privilege review dominates the expanding cost of eDiscovery. Controlling that cost has focused innovation to create Technology Assisted Review (TAR) software and service offerings, but the various TAR approaches can be applied to almost every stage of the eDiscovery lifecycle. The trend to consolidate point products into broader eDiscovery platforms provides a pathway to spread TAR methods beyond review. Our recent briefing with FTI on their Ringtail 8.2 release is a good example how a mature product can leverage clustering, machine learning and other analytics to increase quality and efficiency across matter and global workflows. Like several other solutions including CaseCentral, Ringtail 8.2 implements a unified, Single Instance Storage (SIS) repository that gives their analytic data cubes and mines access to collections that span multiple matters. These global analytics support ECA, culling and QA scenarios upstream and downstream from the actual review.