Ernst & Young LLP Announces Predictive Coding for eDiscovery, Investigations
New York, 29 January 2012 – Ernst & Young LLP, a leading provider of assurance and advisory services, today announced the release of the Automated Predictive Coding platform to help legal counsel improve the quality, speed and cost-effectiveness of eDiscovery and document review.
An integrated team of developers, eDiscovery experts and statisticians from Ernst & Young’s global organization built the system while leveraging patented technologies and processes that Ernst & Young LLP obtained in connection with the acquisition of Cataphora Legal in May 2011. “Building upon our investment and integrating feedback from our large talent pool of investigative and litigation consulting professionals, we have created a mature and immediately applicable solution to our clients’ technology assisted review requirements,” said Brian Loughman, Americas Leader – Fraud Investigation & Dispute Services for the global Ernst & Young organization.
The end-to-end application is fully integrated within kCura’s Relativity™ review platform so there is no need to port data from one system into another. Users can take advantage of the predictive results through the use of boolean searching, batching and imaging capabilities already provided within Relativity.
Defensible results and an intuitive, explainable workflow were the paramount requirements for the platform. The team combined extensive experience in statistical sampling, testing and validation of large diverse data sets with deep knowledge of eDiscovery workflow and distributed big data IT systems to create a platform that will benefit legal teams, case strategy, reviewers and the discovery response process.
State-of-the-art data modeling automatically parses each document into hundreds of topics and assigns a different relevance score to each topic per unique document. This differs from other systems that identify only the preponderance of words within a document. When the topics are correlated with attorney sampling decisions using Ernst & Young’s sophisticated voting schema, the system can detect highly nuanced differences even between documents that contain a statistically high degree of similarity or nearness.
Market-leading data tracking dashboards and analytics augment the approach, and all capabilities are delivered from within an Ernst & Young firewall.
While technology-assisted review has been used successfully, it has remained shrouded in uncertainty with opaque explanations of competing vendor technologies and approaches. With its latest release, Ernst & Young LLP has replaced guesswork with transparent, defensible processes and tools that can be used in any type of investigation or litigation, regardless of industry vertical or data volume.
“The innovative enhancements contained in this review offering demonstrate our clear commitment to adjusting to our clients’ needs,” said David Remnitz, Global & Americas Forensic Technology and Discovery Services Leader for the global Ernst & Young organization. “By building in the most advanced quality measures and controls, Ernst & Young has truly set a new standard for simplicity, quality and defensibility. We will continue to customize our services to exceed the needs of the eDiscovery market.”
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Ernst & Young refers to the global organization of member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
This news release is issued by Ernst & Young LLP, a member firm providing services to clients in the US.