Doing eDiscovery Yourself

with Gartner’s #1 ranked EDRM solution *

By nature, eDiscovery is caused by incidents. And if you do not have new incidents every other day, you probably do not want to invest valuable IT staff and other resources into deploying an on-premises eDiscovery solution for handling non-strategic incidents.

That is why SaaS and eDiscovery are a natural fit. Availability of high bandwidth, flexible and highly secure cloud solutions such as Microsoft Azure and software that fully automates the eDiscovery process all make it possible to take a SaaS approach to eDiscovery.

In this webinar we will discuss the differences between on premises Software, SaaS and Cloud and all possible hybrid combinations and illustrated these with practical cases. We’ll demonstrate how to sign up, create a matter, set your preferences, upload your data and start reviewing in just a few minutes. We’ll show you there is no more flexible and more cost effective solution that provides both the highest level of eDiscovery automation as well as the shortest time to review after the identification of your data resources.

WHEN Wednesday, November 30, 2016
1:00 - 2:00 PM (EST)
WHERE Live Online
United States
PRESENTERS Paul C. Easton, Managing Director, Global Colleague
Johannes C. Scholtes, Ph.D., Chairman and Chief Strategy Officer, ZyLAB




Paul C. Easton | Managing Director | Global Colleague
Paul C. Easton is Managing Director of Global Colleague, an international consulting company specialized in managed services, eDiscovery, information governance, legal hold and litigation support. Paul spent the majority of his legal career helping corporate legal departments, and the law firms that serve them, manage complex e-discovery solutions throughout the United States, Taiwan, India, and Europe.

Johannes C. Scholtes | Ph.D., Chairman and Chief Strategy Officer | ZyLAB
Johannes C. Scholtes, Ph.D. is chairman and chief strategy officer of ZyLAB. Scholtes. Before joining ZyLAB, Scholtes was a lieutenant in the intelligence department of the Royal Dutch Navy. Scholtes holds a Master of Science degree in Computer Science from Delft University of Technology and a Ph.D. in Computational Linguistics from the University of Amsterdam. As of 2008, he holds the Extraordinary Chair in Text Mining from the Department of Knowledge Engineering at the University of Maastricht.


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