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.
- 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
Gina Taranto - ProSearch
Jennifer Hope Bernstein - JP Morgan Chase
Staci Kaliner - Redgrave LLP