| EVENT | WHEN | WHERE |
|
A Case Study of Massive Proportions - Defensible Deletion
|
On-demand |
![]() |
Anthony Diana, Partner, Mayer Brown As a co-leader of Mayer Brown’s Electronic Discovery and Records Management group, Mr. Diana has counseled large financial institutions, pharmaceutical companies and manufacturers on all aspects of the discovery and management of electronic information, including: the development of policies and procedures for the preservation, collection, review, and production of electronically stored information; the development of data source catalogues, disclosures, and responses relating to electronically stored information; the remediation of large volumes of legacy data (paper and electronic); and the defense of electronic discovery procedures before federal regulators and the courts. |
![]() |
Daniel L. Regard, CEO and Managing Director, Intelligent Discovery Solutions Daniel L. Regard is a nationally recognized electronic evidence and case management expert with 20 years of experience consulting to legal and corporate entities. A programmer and an attorney by training, Mr. Regard has conducted system investigations, created data collections, and managed discovery on some of the highest profile financial investigations of the last decade. |
![]() |
Stephen L. Stewart, Chief Technology Officer, Nuix With over twelve years of experience, Stephen has worked with numerous enterprise customers to design, deploy, and support email and file archiving solutions for regulatory compliance and eDiscovery objectives. As the Chief Technology Officer at Nuix, he is responsible for evolving Nuix’s forensic technologies into a leading solution in the eDiscovery and corporate investigation markets. He is a frequent speaker in both the legal and IT communities regarding the challenges of e-mail archiving, discovery and data management. |
|
No software other than Nuix can process large collections fast enough to meet the SEC's desired timeframes.
The US Securities and Exchange Commission
Building the Case for Defensible Deletion
Deleting unneeded data allows organizations to reduce storage costs, speed up discovery and investigations, and tame the Big Data beast.
|