The Data Dump: what to do when you’ve received too much data?, Part 3
November 18, 2015
Checking Out Batches, Review and Navigation
December 17, 2015

Counsel’s Guide to Defensible Deletion of Corporate Data

In today’s digital age, organizations are constantly faced with the risk of costly consequences from delay in the implementation of a defensible deletion program for their electronically stored information (ESI).

As data accumulates, companies waste precious resources to maintain that data, at the expense of innovation and revenue. In fact, 96 percent of respondents to an industry survey agreed a defensible deletion strategy is “absolutely necessary” to reduce the costs and risks associated with information retention, according to an article by the American Bar Association.

Fortunately, this trend can be reversed through a commonsense strategy that, when powered by effective, enabling technologies, can help organizations decrease the costs and risks associated with the exponential growth of ESI.

So, how do you determine what to delete and what to keep? How do you develop policies that reflect these determinations, and then effectively implement them in your organization? Why do some organizations’ efforts at defensible deletion fail, and what can we learn from them?

In this 60-minute webinar we delve into:

  • Why you need a deletion program for your organization’s rapidly growing ESI
  • Considerations when developing deletion policies
  • How to successfully implement your policies to delete data
  • How to avoid common pitfalls in developing a deletion program

Presenters

David Bell
VP & Senior Counsel
Marriott International, Inc.
Law Department
Dispute Resolution Group

Dave Bell is a Vice President & Senior Counsel with Marriott International, Inc., where he has worked since 2012. Dave is one of just four in-house litigation attorneys for Marriott, so his practice covers a broad array of civil litigation, from complex business disputes to franchisor liability and tort matters. Dave is also heavily involved in Marriott’s e-discovery processes and works regularly with Marriott’s IT professionals and outside e-discovery vendors. Dave earned his undergraduate degree from the University of Miami and graduated from the University of Virginia School of Law in 2001. Prior to coming to Marriott, Dave was a litigator and member of the E-Discovery & Information Management Group at Crowell & Moring LLP in Washington, DC.

Cheryl Hauch Corporate Counsel
Best Buy

Cheryl Hauch is Corporate Counsel on Best Buy’s Commercial Litigation team. Ms. Hauch’s practice includes all areas of Commercial Litigation, with a particular emphasis on defending class actions and patent infringement matters. Prior to joining Best Buy, Ms. Hauch represented businesses, including several Fortune 100 companies, in various types of commercial disputes as outside counsel.

Tara Emory, PMP, CEDS
Director of Consulting
Driven, Inc.

Tara is the Director of Consulting of Driven, Inc. She consults with companies and law firms to create information management and efficient e-discovery processes that reflect a best fit for each client and case. Through her experiences as an attorney and technology consultant, Tara has managed large scale projects involving data remediation, litigation, investigations, mergers, & due diligence. Tara speaks and writes frequently on information management and e-discovery, & is a member of The Sedona Conference® Working Group 1. She is also a certified Project Management Professional (PMP).

Tara Emory, PMP
Tara Emory, PMP
Tara Emory advises organizations and law firms on e-Discovery and information governance programs. Tara counsels clients on data management and compliance, policies, records management technology, and defensible deletion. In litigation, she is an expert on search methodologies, data preservation and collection approaches, discovery protocols, and strategies for resolving discovery issues with litigation adversaries, government regulators, and the courts. Above all, Tara seeks to solve her clients’ unique data problems in ways that reflect a best fit for each client and matter.
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