UBIC Training Will Help Law Enforcement Investigators in Japan Work Faster, Better and Save Costs With Lit i View XAMINER

Two-Level Training Program in the Use of UBIC's Unique Artificial Intelligence-Based Forensic Tool Will Speed Probes and Investigations


TOKYO, June 9, 2014 (GLOBE NEWSWIRE) -- UBIC, Inc. (Nasdaq:UBIC) (TSE:2158), a leading provider of international litigation support and big-data analysis services, announced today that it has been engaged to provide training to law enforcement investigators in Japan on the use of its Lit i View® XAMINER software, a state-of-the art digital forensic tool used by law enforcement to identify and investigate cases of corporate fraud and other illegal activities. UBIC's training program commences on July 1.

UBIC's Lit i View XAMINER forensic investigative software is an artificial intelligence (AI)-based tool that speedily and accurately examines very large volumes of electronic communications. The software features UBIC's Central Linkage function that maps relationships within and between organizations and its Virtual Data Scientist technology, which represents a further evolution of UBIC's predictive coding technology. Thus equipped, law enforcement investigators can quickly analyze very large volumes of data to identify patterns and trends that strongly indicate potential illegal activity.

The speed and accuracy of UBIC's Lit i View XAMINER software in organizing, characterizing and identifying information makes it possible for a small, well-trained investigative staff to do the work of a much larger organization with greater accuracy and less cost.

"As the volume of data examined in investigations of corporate fraud and other cases of illegal activities continues to grow, it is becoming increasingly difficult to speedily complete probes through conventional means of investigation alone," UBIC Chairman and Chief Executive Officer Masahiro Morimoto said. "To resolve this problem, UBIC has various AI-based technologies that help to quickly and accurately identify evidence in very large volumes of email communications, office documents and other electronic data."

Combining the latest techniques with the latest technology

Taking advantage of expertise acquired over many years of conducting complex forensic investigations, UBIC's two-level training program combines forensic investigation best practices with the use of Lit i View XAMINER's next-generation digital audit solution capabilities.

The first-level of the program, Lit i View XAMINER Fundamental, trains investigators to master the basic operation of the Lit i View XAMINER software and to integrate that basic capability into the forensic investigation process.

The second-level of the program, Lit i View XAMINER Professional, is a sophisticated and intensive training regimen in the use of UBIC's AI-based Virtual Data Scientist software, an integral feature of Lit i View XAMINER and the latest evolution of UBIC's predictive coding technology, and UBIC's Central Linkage function, which maps relationships within and between organizations. Finally, the Professional course provides guidance on how small teams of investigators can combine technique and technology to achieve significant time and cost efficiencies.

About UBIC

UBIC, Inc. (Nasdaq:UBIC) (TSE:2158) is a leading provider of e-discovery and digital forensic services for Asia and the world. UBIC has extensive experience working with electronically stored information composed in Chinese, Japanese and Korean (CJK) languages and utilizes that expertise for clients involved in cross-border litigation, corporate investigations, intellectual property disputes and much more. At the forefront of e-discovery innovation, UBIC's proprietary Lit i View® platform is moving the industry from "fact discovery" to "future discovery" by allowing clients to analyze e-mail messages and digital communications found in big data to reveal patterns in human thought and behavior.

For more information about UBIC, contact usinfo@ubicna.com or visit http://www.ubicna.com.



            

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