Measuring Recall in E-Discovery Review, Part Two: No Easy Answers

By John Tredennick

In Part One of this two-part post, I introduced readers to statistical problems inherent in proving the level of recall reached in a Technology Assisted Review (TAR) project. Specifically, I showed that the confidence intervals around an asserted recall percentage could be sufficiently large with typical sample sizes as to undercut the basic assertion used to justify your TAR cutoff.

In this Part Two, I will take a look at some of the other approaches people have put forward and see how they match up. However, as Maura Grossman and Gordon Cormack warned in “Comments on ‘The Implications of Rule 26(g) on the Use of Technology-Assisted Review’” and Bill Dimm amplified in a later post on the subject, there is no free lunch.