SOURCE: Recommind


March 09, 2011 13:28 ET

Recommind Launches

Predictive Coding™ Pioneer Releases Definitive Resource on Revolutionary eDiscovery Technology

SAN FRANCISCO, CA--(Marketwire - March 9, 2011) - Recommind, the leader in predictive information management software, today launched, an online resource dedicated to Recommind's industry-changing technology for computer expedited document review. With interest in Predictive Coding at an all-time high, the site gives lawyers, media, analysts and industry observers a timely and trustworthy source of information about what Predictive Coding is and how leading law firms and corporations are using it to transform their eDiscovery process.

"WilmerHale adopted Recommind's Predictive Coding technology because we saw the opportunity to significantly improve the way we provide eDiscovery services," said Robert Trenchard, chair of WilmerHale's litigation E-Discovery Committee. "When used in conjunction with sensible document review processes, it can reduce costs, improve the quality of a review and allow us to serve our clients better."

Recommind built Predictive Coding atop its proven CORE™ technology, adding patented features and workflows for a faster, more cost-effective alternative to traditional 'linear' review. In the linear review process, contract attorneys pore over thousands of documents, one at a time, creating a slow, expensive review with uneven quality and consistency. With Predictive Coding, a computer takes a small set of data pre-coded by an attorney and uses it to review the rest of a collection automatically, greatly reducing the number of documents that need human attention while dramatically improving review speed and consistency. Predictive Coding does not replace the work of lawyers, but greatly enhances the work they do, making the entire review process much more efficient and accurate. 

The result is a revolution in the economics of eDiscovery. Document review is typically the most expensive phase of the eDiscovery process, making up 60%-80% of the total cost. Predictive Coding sharply reduces that cost by "reviewing" an average of 70% of the documents in a collection automatically, prioritizing all documents, distinguishing relevant documents from irrelevant ones and saving millions of dollars per matter in unnecessary labor costs. For large corporations, law firms and government agencies struggling with the staggering amounts of ESI collected in eDiscovery and regulation, Predictive Coding offers a powerful solution to an urgent problem.

"In the vast majority of proceedings, linear review has become economically unfeasible," said Recommind VP of Marketing Craig Carpenter. "It was fine when we lived in a paper-based world, but in today's diverse digital world, linear review cannot handle the volume of ESI and subtlety of language. With demand for Predictive Coding skyrocketing, we've introduced as a one-stop resource for anyone who needs to understand what the technology is, which firms and clients are already using it to great effect, what makes it defensible in court and how it differs from less sophisticated suggestive coding techniques." 

At last January's LegalTech conference in New York, Recommind announced another industry first alongside Predictive Coding with Predictive Sampling™, which adds automated, built-in sampling methodology and workflow as part of the Predictive Coding process in Recommind's Axcelerate™ eDiscovery platform. Leading jurists and litigators have identified sampling as the only prudent way to test the reliability of search, document review and productions -- whether using linear document review or Predictive Coding. Predictive Sampling automates the sampling process, making Predictive Coding not just defensible, but the most defensible document review methodology on the market.

For more on Predictive Coding, please visit:

About Recommind Inc.
Recommind is the leader in predictive information management software, delivering search-powered business applications that transform the way enterprises, government entities and law firms conduct eDiscovery, enterprise search and information governance. Recommind's solutions are all built on the CORE (Context Optimized Relevancy Engine) platform, which automatically accesses, organizes and analyzes large volumes of information in context from myriad sources. With greater control over and more accurate access to information, organizations can lower risk, heighten productivity, increase the value of information assets and improve competitiveness and profitability. Recommind customers include AstraZeneca, BMW, Cisco, Clifford Chance, DuPont, Marathon Oil, Morgan Lewis, US Department of Energy (DOE), White & Case and Wilmer Hale. Recommind is headquartered in San Francisco and has offices in Boston, London and Bonn, Germany. For more information, e-mail or go to

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