Advanced analytics deliver key insights for cloud-based eDiscovery and investigations
SAN FRANCISCO, CA, May 26, 2015 – Recommind, a leader in information intelligence, announced that it has been positioned by Gartner Inc. as a “Leader” in its 2015 Magic Quadrant for E-Discovery Software* report for the fourth consecutive year. The company’s advanced analytics technology is transforming the way businesses –law firms and corporate legal departments in particular – manage investigations of all kinds, including eDiscovery, Foreign Corrupt Practices Act (FCPA) actions, FTC second requests, and complex financial services contract analysis, by using the most advanced analytics and machine learning. The Gartner Magic Quadrant Report for E-Discovery Software states: “E-Discovery has become a well-established practice in litigious countries and markets. Governments, law firms and corporations in common-law jurisdictions and heavily regulated and litigated vertical markets have been rapidly increasing the use of technologies to assist their e-discovery and other investigation processes.” Cloud computing is integral to these processes by enabling real-time and organizational-wide information sharing so teams can make intelligent business decisions based on analytics, rather than intuition. “Whether they are internal or regulator-driven, investigations are sensitive and time-specific, and therefore require the most powerful analytics capabilities,” said Hal Marcus of Recommind. “Recommind has always been on the front lines of helping legal teams make data-based decisions quickly and accurately. With our cloud-based eDiscovery platform, we are uniquely able to help time-pressed investigators cut through the noise and get right to the facts.” A key element of Recommind’s technological capabilities is Predictive Coding (also known as Technology-Assisted Review [TAR] or Computer-Assisted Review [CAR]). Predictive Coding is Recommind’s patented process of using a machine-learning algorithm to help lawyers review, analyze, and identify relevant content within large document volumes for litigation. Learn more at predictivecoding.com
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