Download Why Control Sets are Problematic in E-DiscoveryBy Dr. Jeremy Pickens

And Why Continuous Active Learning Makes Them Irrelevant

In his blog post “Predictive Coding 3.0,” Ralph Losey lays out a case for the abolishment of control sets in e-discovery, particularly if one is following a continuous learning protocol. Here at Catalyst, we could not agree more with this position. From the very first moment we rolled out our TAR 2.0, continuous learning engine, we have not only recommended against the use of control sets, but we actively decided against ever implementing them in the first place and thus never even had the potential of steering clients awry.

Losey points out three main flaws with control sets. These may be summarized as (1) knowledge issues, (2) sequential testing bias and (3) representativeness. In this piece, I offer my own take and evidence in favor of these three points, and offer a fourth difficulty with control sets: rolling collection.

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