Looking Ahead: How to Get the Most Out of TAR 2.0

Level: Advanced
Runtime: 62 minutes
Recorded Date: January 31, 2018
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2:45 pm - 3:45 pm
  • Predictive coding workflows
  • Factors that should be considered
  • Creative or advanced ways predictive coding can be leveraged
  • Internal investigations, deposition preparation & received-production analysis
  • Q & A
Runtime: 1 hour
Recorded: January 31, 2018


Much has changed since TAR first gained judicial approval in the landmark 2012 Da Silva Moore v. Publicis Groupe decision. This panel will consider how TAR’s capabilities have grown over the last few years, evolving from an inscrutable “black box” to a powerful technology that can drive litigation strategy. In this session, attendees will learn key workflows for optimizing the use of TAR, accelerating document review and ensuring defensibility as our expert panelists discuss advanced TAR 2.0 workflows.

This program was recorded as part of LegalTech on January 31st, 2018.

Provided By



Matthew Poplawski

Senior eDiscovery Attorney
Winston & Strawn

Matt Poplawski is a Senior e-Discovery attorney in Winston & Strawn LLP’s Chicago office. He has counseled teams on all aspects of e-discovery, including document retention, preservation, collection, search terms, Rule 26(f) conferences, e-discovery motion practice, production format, data culling, analytical document review, predictive coding, and document production. He has managed review teams in complex commercial litigation for both English and Japanese languages. As part of these efforts, Matt has worked to understand client review and production challenges, and develop analytical review and production processes tailored to the client’s needs to achieve greater e-discovery efficiencies.

Matt is a member of the Leadership Committee of Winston & Strawn's eDiscovery & Information Governance Practice Group, and an editor of the firm’s eDiscovery Advantage client newsletter.

Martha Louks

Director of Technology Services
McDermott Will & Emery

Martha K. Louks manages the Firm’s discovery technology team and consults on a wide array of discovery issues, providing high-value, efficiency-driven solutions to complex data challenges. Martha collaborates with legal teams to develop technology and workflow solutions that align with the overall discovery strategy, prepares discovery plans that reduce costs and improve efficiency, and participates in negotiations regarding ESI protocols.

Martha has extensive experience developing preservation plans capable of withstanding intense scrutiny while simultaneously addressing the flexibility necessary for clients to meet their business obligations. She advises on electronic evidence considerations, working closely with legal teams to incorporate the results of the forensic investigation into legal analysis.

Martha is highly skilled in Technology Assisted Review (predictive coding) and advises clients on the defensibility and effectiveness of varied workflow approaches, as well as strategic considerations related to the disclosure of predictive coding processes and metrics. Clients look to McDermott’s strong experience with leveraging predictive coding and other advanced technologies to get discovery done more efficiently and with more cost savings.

In particular, Martha was instrumental in the AB InBev-Grupo Modelo merger where she worked directly with the US Department of Justice’s (DOJ) Antitrust Division in developing a predictive coding protocol to limit review to only those documents most relevant and responsive to the DOJ’s requests.

Martha is a Certified Relativity Expert, having three concurrent certifications: Relativity Certified Administrator, Relativity Analytics Specialist, and Relativity Assisted Review Specialist.

Dave D. Lewis, Ph.D.

Chief Data Scientist
Brainspace Corporation

David D. Lewis, Ph.D. is Chief Data Scientist at Brainspace, a Cyxtera Business, where he leads their data science team. Dr. Lewis previously held research positions at AT&T Labs, Bell Labs, and the University of Chicago, and later consulted to numerous corporations, startups, and investors. He has served as an expert in high profile e-discovery cases, including Kleen Products, da Silva Moore, Actos, FHFA, and the VW litigation. Dave was elected an AAAS Fellow in 2006 for pioneering work in text analytics, and recently received a Test for Time Award from ACM SIGIR for the invention of uncertainty sampling, the most widely used active learning method.

Michelle Briggs

eDiscovery Attorney & Senior Litigation Technology Manager
Goodwin Proctor, LLP

Michelle Treadwell Briggs is Counsel in Goodwin’s Litigation Department. Her practice focuses exclusively on advising Goodwin lawyers and clients on legal, technical and strategic issues involving electronic discovery and information management. She has wide experience in negotiating and managing all aspects of discovery and subpoena compliance, including developing and implementing the full range of electronic discovery and response strategies for government investigations and for complex commercial, antitrust and intellectual property litigation.

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