UBIC Achieves World First In Machine-Learning Document Analysis For Japanese- And Korean-Language International Litigation Projects

TOKYO, July 9, 2013 (GLOBE NEWSWIRE) -- UBIC, Inc. (TSE:2158) (Nasdaq:UBIC), a global provider of comprehensive eDiscovery and digital forensics solutions and services for corporations and law firms, announced today that the performance of its predictive coding technology has been validated by client review in cases involving Asian-language and English documents, a world first for UBIC's technology.

UBIC's predictive coding technology is based on machine-learning software that accurately and quickly reviews and codes large volumes of data in multiple languages including Japanese, Korean and English. To date, this technology has been successfully applied in electronic discovery (eDiscovery) projects to effectively code documents for use in cross-border litigation where its performance and accuracy was confirmed in independent review by client attorneys.

Cost of human review a burden

Discovery (and eDiscovery) is an essential fact-finding process in the contest of lawsuits and in administrative investigations related to state and federal laws in the United States (e.g., anti-monopoly or anti-corruption) and other, similar laws and regulations enforced by nations around the world. "The significance of UBIC's predictive coding technology is its potential to reliably achieve the same or better accuracy as with human review while significantly reducing costs related to eDiscovery," UBIC Chairman and Chief Executive Officer Masahiro Morimoto said.

Of the several stages involved in the eDiscovery process – which include the identification, collection, processing and storage of data – it is the review stage where individual attorneys sift through potentially relevant documents one-by-one to definitively establish relevance, that is often most cost intensive. Review costs are driven even higher when attorneys hired for review must possess specific "expert" knowledge such as multi-lingual capability or specific knowledge in engineering, medicine or other specialization.

"Fees associated with hiring attorneys to read and precisely code large volumes of documents have become huge burdens for corporations involved in litigation," according to Mr. Morimoto.

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