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Exterro Fusion® E-Discovery Platform Advances with Predictive Technologies across the EDRM

Fusion Predictive Intelligence delivers advanced machine learning to automate the identification and classification of ESI from pre-collection through review.

PORTLAND, Ore., October 17, 2012 - Exterro®, the leading provider of unified electronic discovery software, today unveiled the addition of predictive technologies to the Exterro Fusion® e-discovery suite. Fusion Predictive Intelligence allows legal teams to apply machine intelligence for the identification and categorization of electronically stored information (ESI) across the EDRM, 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.

Multiple e-discovery software vendors offer products featuring predictive coding for streamlining costly, manual review. Yet our corporate clients are seeking faster access to the potentially relevant evidence and case facts much earlier in the process, so they can change the course of the matter prior to any evidence being collected, said Ted Gary, senior product marketing manager at Exterro. Fusion Predictive Intelligence takes predictive coding to the next level by applying machine intelligence across multiple phases of the e-discovery process.

Significantly reducing ESI volumes and e-discovery costs
Fusion Predictive Intelligence enables corporations to significantly reduce ESI volumes with advanced machine learning across multiple phases of the Electronic Discovery Reference Model (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.

"Predictive coding is one of the assisted review technologies showing significant promise for helping corporations deal with document review, the most expensive part of the discovery process, said David Horrigan, analyst covering e-discovery and information governance at 451 Research. We think Exterro is making a good move in adding predictive capabilities to its Fusion platform, especially in making these capabilities part of a workflow that can be applied to earlier stages of the e-discovery process in advance of collection. We expect vendors to continue adding predictive capabilities as corporations continue to grapple with exponential increases in ESI, the challenges of Big Data and rising legal costs."

Addressing information governance and data reduction strategies at the outset of litigation and across the entire legal portfolio is extremely important for our clients. The biggest risk lies in entering negotiations without a full picture of the scope, issues and potential risks involved in a matter, said Bennett Borden, Esq., partner at Williams Mullen. Exterros predictive technologies add another powerful tool that can help our clients not only contain the cost of discovery on one matter but across the entire legal portfolio.

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

About Exterro

Exterro, Inc. is the preferred provider of software specifically designed for in-house legal and IT teams at global 2000 organizations. Founded with the simple vision that applying the concepts of process optimization and data science to the way companies respond to litigation would drive more successful outcomes at a lower cost, Exterro is once again positioned as a leader in Gartner's 2015 Magic Quadrant for E-Discovery Software. Built on an open architecture platform, Exterro's e-discovery and information governance software integrates with existing IT, HR and legal systems to deliver complete visibility into all critical data required for managing information assets more efficiently. For more information, visit

For more information, please contact:

Kristin Kolasinki 
Marketing Events and PR Manager