Exterro, a provider of unified electronic discovery software, this week unveiled the addition of predictive technologies to the Exterro Fusion e-discovery suite.

Fusion Predictive Intelligence takes predictive coding to the next level by allowing legal teams to apply machine intelligence for the identification and categorization of electronically stored information (ESI) across the Electronic Discovery Reference Model from pre-collection through review. This latest advancement, now available in Fusion Zeta, was developed in direct response to client and market demand for greater intelligence and cost reduction in the early phases of discovery.

Fusion Predictive Intelligence enables corporations to significantly reduce ESI volumes with advanced machine learning across multiple phases of the EDRM, including:

Early Case Assessment/Identification. Prior to collection, legal teams can now apply predictive algorithms to classify indexed documents and use the results to more accurately and rapidly assess the nature and scope of a matter.

Collection. Applied at the point of collection, legal teams can now collect and label only those documents identified by the predictive model to minimize data volumes and later stage review costs.

Review. Post-collection, predictive intelligence can be applied to precisely identify and code relevant documents based on the predictive model, sharply reducing manual review time and costs.

Fusion Predictive Intelligence is immediately available as part of Fusion Zeta, Exterro's advanced data management application. More information on the new machine learning capabilities in the Exterro Fusion platform is available here.