- June 11, 2014
In a business world of nonstop change, there’s only one way to win the game: transform it entirely. This requires a revolution in thinking—a steady stream of disruptive strategies and unexpected solutions. Luke Williams, the international bestselling author of Disrupt: Think the Unthinkable to Spark Transformation in Your Business, knows exactly how to generate those strategies and deliver those solutions. If you missed Luke Williams’ LegalTech 2014 Keynote presentation, watch our on-demand webcast where Luke applies his strategies to the legal e-discovery industry.
- July 24, 2013
Over the last two years, the most talked about topic in e-Discovery has been predictive coding and other technology assisted review tools. Despite the buzz, many litigants have not yet embraced these technologies or deployed the tools in their discovery efforts. But soon there may be no choice – we are seeing a significant trend towards requesting parties, regulatory agencies, and courts insisting that producing parties use predictive coding to comply with document discovery obligations.
- October 22, 2012
A rapidly evolving and complex field, statistical sampling is fast becoming essential to the discovery process. In e-discovery, statistical sampling can help increase confidence, reduce cost and improve defensibility. But the advantages of sampling are rarely realized, simply because most lawyers are not statisticians.
- February 22, 2012
Maureen O’Neill, SVP Employment Law Practice Group, Marketplace Leader at DiscoverReady and Phil Richards, Chief Technology Officer at DiscoverReady join special guest Warwick Sharp, Vice President, Marketing and Business Development at Equivio for this informative webinar that discusses how Equivio>Relevance works, the various ways in which it can be used by litigants, and a practical guidance and best practices for implementing the technology effectively, efficiently and defensibly.
- December 15, 2011
The discussion will include: challenges unique to IP matters, how the model order will partially resolve these challenges and time-tested cost saving strategies that conform to the Model Order.