Transforming Experience into Intelligence
By adding human insight, Knowledge Management (KM) transforms a flat dataset of information into a treasure trove of centralized intelligence, which can be used to make informed business decisions. In the specific context of litigation and regulatory discovery, our experience at DiscoverReady shows that a comprehensive knowledge management strategy can play a critical role in shaping future decisions by clients and counsel. In this blog, we’ll cover some approachable starting points to build a robust KM program into discovery efforts.
DiscoverReady’s New Year’s Resolutions
Happy New Year! As we turn the calendar to 2016 and reflect on what the year ahead might bring, I asked some of my DiscoverReady colleagues to share some of their resolutions for the new year. Here’s what they resolve to accomplish in 2016. . .
Switching Your E-Discovery Horse Midstream – Can You Jump on a Predictive Coding Pony?
In the last few months, two different federal courts considered similar discovery scenarios, but reached opposite conclusions about how discovery should proceed. The parties agreed to a discovery plan that did not include the use of predictive coding. But after wading into discovery, the producing party realized that, in light of the volume of documents to be reviewed and the burden of conducting review with traditional methods, predicting coding could be worthwhile.
They Heard You Loud and Clear: Public Comment Drives Revisions to Federal Rules Amendments
In two prior blog posts, Maureen examined a number of proposed amendments to the Federal Rules of Civil Procedure developed by the Duke Conference Subcommittee and the Discovery Subcommittee of the Advisory Committee on Civil Rules. Now, those amendments appear to be changing — thanks to more than 2,000 written comments submitted. In response to this substantial input, both subcommittees have recommended major changes to the proposed amendments of the Federal Rules of Civil Procedure.
Putting Statistics to Work in eDiscovery: Use Cases for Incorporating Statistical Sampling and Analysis
In two prior posts, I first made the case that all litigators need to understand some basic statistics, and then provided a primer on the key statistical concepts in ediscovery they should know. In this final post in the statistical sampling series, I suggest some of the best opportunities for incorporating statistical sampling and statistical analysis into discovery efforts.