Equivio>Relevance™ Enhances eDiscovery Through Automated Prioritization of Documents by Relevance

Equivio, a provider of software for managing data redundancy, has launched Equivio>Relevance™, an expert-guided system that enhances the eDiscovery process through automated document prioritization.

Kensington, MD (PRWEB) June 23, 2009 -- Equivio, a provider of software for managing data redundancy, announced today that it has launched Equivio>Relevance™, an expert-guided system that enhances the eDiscovery process through automated document prioritization.

Traditionally, attorneys use keywords to pre-filter documents prior to detailed review. According to the TREC (Text Retrieval Conference) studies, the keywords method tends to miss most of the relevant documents, while yielding mainly irrelevant documents. As a result, only a fraction of the relevant documents make it to the detailed review stage, while most of the documents that are submitted to review are in fact not relevant.

Moreover, the keywords approach is typically binary, meaning that documents are either included or not. There is no graduated scale of relevance. This rigid approach does not allow for relative ranking of documents, making it extremely difficult to manage and prioritize document review.

Equivio>Relevance™ is designed to address these limitations, introducing a higher level of flexibility, control and accuracy into the eDiscovery process. Based on initial input from a lead attorney, Equivio>Relevance uses statistical and self-learning techniques to calculate graduated relevance scores for each document in the data collection. Equivio>Relevance also uses a statistical model to calculate the precision and recall achieved by the software. This statistical model is used to provide a new level of measurability and control in the eDiscovery arena, while also helping to ensure the defensibility and transparency of the process.

Equivio>Relevance drives value throughout the eDiscovery flow through:

Early case assessment: Equivio>Relevance facilitates rapid assessment of the key issues and concepts in a case. Culling: Equivio>Relevance achieves high levels of recall and precision, helping overcome the challenges of over and under-inclusion that characterize traditional keyword methods. Review prioritization: By organizing the review set according to relevance rankings, Equivio enables prioritization of document review. This allows attorneys to immediately focus on the most relevant documents. Review quality assurance: By identifying discrepancies in the responsiveness designations of Equivio>Relevance vis-à-vis the human review team, the application helps find responsive documents missed in the detail review. Similarly, the discrepancies can be used to locate documents incorrectly marked by the human review team as responsive.

Equivio>Relevance also generates a list of keywords that characterize relevant documents in the collection. These automatically-generated keywords can be used to supplement and enhance the manual list of keywords built by the legal team.

"Equivio is committed to developing and delivering innovative technologies that will help litigators improve the quality and consistency of their eDiscovery processes," said Amir Milo, CEO of Equivio. "Equivio>Relevance™ enables attorneys to review fewer and more relevant documents, lowering review costs and reducing the risk of missing key data."

About Equivio

Equivio enables the management of data redundancy in content-centric business processes. Equivio's technology zooms in on unique data, allowing you to read less, think more, win big™. With products for grouping near-duplicates, capturing email threads and determining document relevance, Equivio powers a broad range of business applications, including eDiscovery, records management, email archiving, data retention and intelligence. To learn more about winning with Equivio, visit www.equivio.com.

CONTACT INFORMATION:
For Equivio:
Warwick Sharp
800-851-1965

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