The FBI should and could easily have finished its investigation of Hillary Clinton’s emails on Anthony Weiner’s laptop by no later than early Monday morning. And, consistent with its current policy, it should have disclosed the result of its review by no later than noon on Monday. Continue reading →
In describing predictive coding systems, it’s important to distinguish document-based systems from corpus-based systems. Document-based systems make their predictions based on the similarity of each document to a single, previously-categorized document. Corpus-based systems are, in addition, able to use higher-order properties of groups of previously-categorized documents to make their predictions. Because of this advantage, corpus-based systems are less affected by errors in coding individual documents. Continue reading →
That can change. We can use social technology to make group document reviews better, faster, and less costly, while making the reviewers’ work more professionally rewarding to them and more valuable to their employers. Continue reading →
Some say that predictive coding isn’t as useful to plaintiffs as it is to defendants. See, for example, this post on Linkedin.
In my view, what really matters is whether the litigant is producing or receiving the documents. Predictive coding is more useful to a producing party than to the receiving party. And, in a way, predictive coding is actually the opposite of post-production analysis. Continue reading →
In any case where emails between the parties will be discoverable, the parties should collect and jointly analyze the emails between them, before the initial scheduling conference, in order to agree on an efficient and proportional ediscovery plan and to attempt early resolution.
Even before either side does a first-pass review of their collected documents, they can easily identify which potentially-discoverable documents both sides already have in common. This process would be fast, inexpensive, and easy, and would allow new kinds of cooperation between parties.