Earlier this month, we posted a two-part series on our exciting—albeit rocky at first—journey with analytics in e-discovery, as well as some takeaways from Judge Peck’s recent Rio Tinto opinion. As we’ve mentioned around this topic, there’s been a lot of growth in analytics usage over the last couple of years.
But how has all this translated to tangible benefits? We’ll break it down into our three goals for analytics in e-discovery: making e-discovery faster, easier, and more insightful. Check out a few real-world stories below, and visit our Customer Wins page for more.
Law firm Thompson & Knight recently approached Inventus, an e-discovery service provider, for support on an internal investigation that required an immediate start to review—and by “immediate” we mean they collected data on a Friday and needed prioritization done by Monday.
Though initially wary of the timeline, the Inventus team set up a computer-assisted review project to prioritize the 86,000 documents a keyword search returned from the initial 1.8 million-record set. After only one training and two QC rounds, the team achieved an overturn rate of just 9 percent.
With this analytics workflow, the case team managed to review just 2,100 documents and immediately prioritize a responsive set of about 12,000 records—all in a single weekend.… Read More »