SYSTRAN Demos Two New Integrations for Relativity at Ing3nious' SoCal E-Discovery & Information Governance Retreat

Press Release (ePRNews.com) - San Diego, CA - Nov 09, 2016 - SYSTRAN, a global leader in language translation technology, will demo two new integrations for SYSTRAN’s offering of Relativity at Ing3nious’ SoCal E-discovery & Information Governance Retreat, November 13-14.

SYSTRAN plans to demo two new integrations, aDiscovery and Anonymizer, for SYSTRAN’s offering of Relativity at the event. The aDiscovery feature will aid in audio discovery by transcribing audio files, detecting the source language and then translating the content. Anonymizer applies rigorous anonymization techniques to the full text and metadata of electronic documents within Relativity.

“These new integrations are going to change the way modern day legal teams handle multi-language files during e-discovery by maximizing productivity through automatic translation and Natural Language Processing (NLP). These methods are far more efficient than manual translation and will save firms time and money during the e-discovery process.”

Ken Behan, SYSTRAN Vice President of Sales & Marketing

Anonymization can be used to mask identifying details in documents such as names, addresses, identification numbers, places, amounts and so forth when reading the anonymized documents; however, anonymized documents retain sufficient information for most relevancy reviews. Users also have the ability to “pseudononymize” selected names replacing pre-identified names with chosen pseudonyms on a mass basis to provide another option for privacy protection.

By 2020, Gartner predicts that 80 percent of litigation will involve multiple languages. The features are meant to assist with multi-language or cross-border e-discovery, giving legal teams a cost-effective method to translate files efficiently.

“These new integrations are going to change the way modern day legal teams handle multi-language files during e-discovery by maximizing productivity through automatic translation and Natural Language Processing (NLP),” says Ken Behan, SYSTRAN Vice President of Sales & Marketing. “These methods are far more efficient than manual translation and will save firms time and money during the e-discovery process.”

In addition to the new integrations, SYSTRAN’s offering for Relativity automatically detects languages of files, translates documents that have multiple languages, and bulk translates using the Mass Action feature in Relativity. Organizations using Relativity are also able to support their billing process by accurately reflecting the workload completed.

To learn more about SYSTRAN’s offering of Relativity visit http://www.systrangroup.com

                                                                                         ###

About SYSTRAN Software

For over 48 years, SYSTRAN transformed the way global organizations such as Apple, Adobe, Daimler, HSBC, and Symantec meet the challenges of communicating globally via advanced machine-based translation technology. With the ability to facilitate communication in over 130 languages and 20 vertical domains, SYSTRAN enables instantaneous and automatic multilingual translations for texts, emails, chat, web pages, mobile apps, documents, user-generated content and more.

SYSTRAN is headquartered in Seoul with offices in South Korea, Paris, France and San Diego, United States. For more on SYSTRAN visit www.systransoft.com

Source : SYSTRAN, Inc.
Business Info :
SYSTRAN Software, Inc

You may also like this  

DISCLAIMER : If you have any concerns regarding this press release, please contact the Author / Media Contact / Business of this press release. ePRNews is not resposible for the accuracy of the news posted and do not endorse, support any product/services/business mentioned and hereby disclaims any content contained in this press release.

Login

Or using ePRNews Account

Don't have an account ? Sign Up

Register New Account

Or form here

Already have an account ? Login

Reset Password

Already have an account ? Login