TAR 2.0 Resistance Likely Stems From Bad Memories—and Bad Marketing
Technology assisted review (TAR 2.0) may still face challenges in the market, but growing tech acceptance and court decisions could encourage its broader adoption.
April 27, 2022 at 01:07 PM
5 minute read
The history of technology-assisted review (TAR 1.0)—that is, the first generation of predictive coding or machine learning in e-discovery—is laden with tedious processes, expensive per gig payments and frustrated users.
Now, e-discovery attorneys say the memory of just how bad it was might have something to do with slower adoption of a newer version (TAR 2.0), which uses continuous active learning (CAL) instead of seed sets, even though it eliminates many problems the first version had. To top it off, marketing strategies that claim "silver bullet"-type solutions might be putting off even the interested buyers.
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