preservation and eDiscovery

Product Liability Monitor

February 8, 2017
New Developments
Autonomous Vehicle Technology Regulation In the Trump Administration
By Eric B. Krauss
Last autumn President Obama revealed his administration’s plan for autonomous driving technology. The National Highway Traffic Safety Administration (“NHTSA”) published fifteen guidelines in September, 2016, that were almost widely lauded as striking the right balance between safety and

keyboard_iStock_000003183204Small-computerkeyboardThis past May marked the three-year anniversary (Cheers!) of Judge Andrew Peck’s
Da Silva Moore v. Publicis Groupe et al, S.D. New York, 11-1279, 2-24-2012
opinion, widely cited as the first case ruling to endorse the use of predictive coding or “technology-assisted review” (TAR) as a discovery tool.

TAR is the process of training a computer system to make decisions about the responsiveness of a document that would otherwise be reviewed and coded by a manual reviewer. With TAR, human effort is not eliminated, but rather used throughout the review process to train the system on what is responsive and what is not. The documents used to train the system are called the “training set” or “seed set.”   Once the system is trained, the computer reviews and codes the documents.


Continue Reading Show me yours and I’ll show you mine — The importance of TAR transparency

hard driveThere has been much discussion among in-house lawyers lately about controlling legal spend.  Much of the discussion is focused on soaring discovery costs related to the proliferation of electronic data.  As an eDiscovery attorney, I employ early case assessment strategies and tools, technology-assisted- review, and even low-cost outside staff attorneys to try and curtail the cost of discovery.  In the end, however, the effectiveness of these cost-reduction alternatives hinges on whether clients have done their part to reduce the volume of data upstream.
Continue Reading 8 Ways to Slash Discovery Costs – Now!