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 1997, Judge D. Brooks Smith (W.D. PA) ordered the defendant in a class action to produce its counsel’s database of potentially responsive documents or suffer the consequences. One reason I sought that order was to cut through what would otherwise have been an untenably expensive process. Here are excerpts from the transcript, and the minute entry. 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
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On August 3, 2015, ediscovery SAAS provider Logikcull unveiled the first all-inclusive, flat rate pricing plans in the ediscovery industry. I interviewed Logikcull’s CEO, Andy Wilson, about his company and its business model. What follows is an abridged version of that interview, vetted by Andy for accuracy. Continue reading
Group document reviews usually aren’t particularly ennobling. And in recent years we’ve learned that they can sometimes produce results that are worse than what we’d get from a well-trained machine.
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
Last October 30, Equivio Ltd announced, in response to one of my earlier posts, that it was incorporating a unique new feature into its Zoom analytic and review platform. Continue reading
This article is about how H5‘s rules-based approach to technology-assisted review provides a great framework for illustrating cooperation in ediscovery. But first, some context.
By this time next year, Rule 1 of the Federal Rules of Civil Procedure will have been amended to codify the principles of proportionality and cooperation between opposing counsel. 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.
