Ever-growing data collections demand faster, more accurate ways to identify responsive material for discovery review. The TAR debate is no longer a question of whether to use predictive coding, but rather which solution – TAR 1.0, 2.0, or 3.0 – should be used. The panel will explore the landscape of TAR options, and reveal how data scientists are advancing sampling techniques and statistical methods to create the future of TAR.

Speakers:

• Gina Taranto, Director of Applied Sciences and Accelerated Learning Solutions at ProSearch
• David Li, Manager of Linguistics, Analytics and Data Science at ProSearch
• Jennifer Bernstein, Vice President, Assistant General Counsel from JPMorgan Chase
• Staci D. Kaliner, Managing Director - REDGRAVE LLP

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