SOURCE: Catalyst Repository

Catalyst Repository

October 10, 2012 12:30 ET

Catalyst Releases High-Fidelity, Tokenized Predictive Coding Services to Japanese Market

Unparalleled Predictive Coding in E-Discovery for Japanese and Multinational Corporations Increases Accuracy of Document Review and Reduces Time for Senior Attorney Review by 50%

DENVER, CO--(Marketwire - Oct 10, 2012) - Catalyst -- a pioneer in providing innovative legal technology and e-discovery solutions to in-house counsel and law firms -- today announced the offering of its enhanced predictive coding services in Japan. Already a world leader in multi-language e-discovery search and review, Catalyst is now providing an approach to the handling complex double byte languages to the Japanese marketplace that leverages its extensive multi-language case experience and full tokenization capabilities with the predictive coding engine Equivio Zoom, to offer one of the most powerful predictive coding environments for efficient, high-quality search and review.

"For years, predictive coding has been more speculation than reality in the difficult Japanese language e-discovery environment. Most predictive coding engines experience sub-par performance when Japanese text is processed. The common understanding among e-discovery professionals in Japan is that predictive coding only works with English text," said John Tredennick, Catalyst's founder and CEO. "By adding this new capability to our leading multi-language review platform, Catalyst is providing the Japanese market with a much-awaited service while meeting the complex e-discovery needs of Japanese and multinational corporations."

Electronically stored information (ESI) is now spread across multiple jurisdictions, languages, matters and companies. The cost of litigation to Japanese companies can be prohibitively high, with review costs exceeding those in the U.S. by 50% to 100%, due in large part to the need to hire Japanese-speaking attorneys to conduct linear document review.

Catalyst has long been a leader in e-discovery solutions for the fast-growing Chinese, Japanese, and Korean (CJK) market because of the high-quality tokenization and multi-language search capabilities of its hosted review platform, Catalyst CR. Now, the combination of Equivio Zoom and Catalyst CR allows Japanese and multinational corporations to quickly and efficiently identify the most relevant documents and dramatically reduce the need for human review, reducing the overall cost of review by as much as 50%. In one recent Anti-Trust case, a Japanese corporation was able to increase recall accuracy by 15 - 20 % over conventional tokenized review by using Catalyst CR in combination with the predictive coding capabilities of Equivio Zoom.

"Catalyst have demonstrated market leadership with their early rollout of predictive coding to Japan," said Amir Milo, CEO of Equivio. "Catalyst's ability to merge their language services with Equivio Zoom, is a standout achievement. We look forward to working with Catalyst as they continue to facilitate the transition to predictive coding-based operations in the Japanese e-discovery space."

For more information about Catalyst's predictive coding services for the Japanese market, go to http://www.catalystsecure.com/predictive-coding.html

About Catalyst
For over 14 years, Catalyst has been providing pioneering and innovative legal technology and e-discovery platforms to in-house counsel and professional law firms. Catalyst's clients include many of the largest organizations in the world. Catalyst's powerful yet simple e-discovery platform, Insight, overcomes challenges not addressed by other software providers by allowing lawyers to See, Simplify, Save, and Scale to manage big data discovery efficiently, control litigation costs and make review teams more effective. Catalyst's e-discovery platform is built on the experience of seasoned litigation lawyers with deep experience in the challenges of conducting discovery quickly and accurately. Please visit Catalyst at www.catalystsecure.com for more information.

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