Come together at Legaltech

OpenText unites InfoSec, InfoGov, and eDiscovery at top legal tradeshow

Another year, another Legaltech New York — the largest legal technology conference of the year. But for us, this year is no ordinary Legaltech®. OpenText arrives this year in full-force to represent itself as a whole larger than the sum of its individual parts.

Our technology track session theme, Come together, right now: aligning InfoSec, IG, and eDiscovery, highlights how OpenText brings together different pieces of the Enterprise Information Management (EIM) puzzle. As home to EnCase, Axcelerate, Decisiv, eDOCS, Content Suite, Documentum, and Magellan, OpenText is uniquely suited to address the toughest enterprise information challenges.

Stop by booth #1410 for a personalized consultation with our expert team and enter to win an iPad or other prizes. Learn more about our three compelling speaking sessions below:

Adam Kuhn will moderate a panel of eDiscovery experts as he guides us step-by-step through a mock investigation of publicly released FOIA data using Axcelerate. They will discuss real-life applications and use cases of continuous machine learning and advanced analytics for complex litigation and regulatory investigations.

Join eDiscovery leaders from Facebook, the New York Stock Exchange, and Latham & Watkins to gain insight into how legal professionals are utilizing machine learning in a corporate legal and law firm context. Seize this opportunity to ask legal experts about best practices for internal investigations.

The session will cover strategies to conduct fast, efficient, and thorough investigations. Learn how to target persons of interest, quickly locate relevant data, and uncover anomalies or patterns, by using phrase analysis, concepts, communication maps, Predictive Coding, and other tools.

Hal Marcus will moderate a panel of top legal experts as they share their opinions on the state of eDiscovery, forensics, InfoGov, InfoSec, and Enterprise Content Management, including how the lines between these disciplines are blurring more and more.

In our 2017 Survey, 74% of corporate legal ops professionals said it would benefit the entire legal department if ECM systems were integrated with eDiscovery, yet a truly seamless enterprise discovery experience still does not exist! This session will explore the 5 key reasons a comprehensive approach to IG, InfoSec, and eDiscovery presents such a challenge for large enterprises.

Gain perspectives from eDiscovery professionals at Viacom, Morgan Lewis, and Drinker Biddle & Reath on how to solve emerging challenges within the evolving eDiscovery landscape and move towards the future. Learn how OpenText Discovery’s end-to-end eDiscovery solution takes us closer to our vision of seamless enterprise discovery.

Charles Choe will moderate a panel of data privacy and security experts on key steps and best practices for handling data breaches and incident response. Endpoints often represent the first vector of attacks against enterprise networks. With data breaches becoming more commonplace, understanding the role endpoints play in monitoring breaches is more important than ever. In addition to insights on how corporations should respond to data breaches, the session will also explore real life examples of the impact of GDPR on enterprises and how law firms can improve their overall security position.

Join cybersecurity and privacy experts from Sheppard Mullin and Lane Powell to discuss the convergence of data privacy and information security in our increasingly digital world. How are corporations actually securing, collecting, and investigating data? How can law firms achieve true endpoint visibility? Additionally, learn more about how our EnCase suite of products offers the layer of protection enterprises sorely need.

See you in New York!

Christina Ling

Christina is a Product Marketing Specialist for OpenText Discovery and has a wealth of consulting and project management experience in eDiscovery. She is fascinated by big data, information security, artificial intelligence, and machine learning technology.

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