Extract from article by Lauren Foster published on Lawyerist
As professional speakers and writers, attorneys’ desire for precision and clarity urges us to find the single most accurate way to express a thought. And while clients may not have this compulsion, no expense has been spared when it comes to proving what the client meant when he or she said something. The need to ascribe definitive meaning has now reached the realm of emojis. The colorful symbols of Japanese origin took off globally when Apple began including them on the iPhone keyboard in 2011. As emoji popularity and usage continues to increase, they have trickled into courtrooms across the country, where judges must decide how to handle this new visual evidence.
This entry was posted on Friday, March 4th, 2016 at 1:21 pm. It is filed under chronology, industry and tagged with ediscovery, electronic discovery, social media. You can follow any responses to this entry through the RSS 2.0 feed.
An abridged look at the business of eDiscovery mergers, acquisitions, and investments. The presented listing highlights key industry business moves by sharing the announcement date, acquired company, acquiring or investing company, and acquisition amount (if known) of significant eDiscovery-related mergers, acquisitions, and investments.
Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2016 and 2021.
One of the core purposes of all of the Tracks is to demonstrate the robustness of core retrieval technology. Moreover, one of the primary goals of TREC is: [T]o speed the transfer of technology from research labs into commercial products by demonstrating substantial improvements in retrieval methodologies on real-world problems.
The proceedings of the TREC Total Recall Track have been published by the National Institute of Standards and Technology. The purpose of track was to investigate methods and technologies to find, as nearly as possible, all documents in a collection that satisfy specific criteria, with reasonable effort.
Best Practices for eDiscovery Searching: A Continuing Legal Education (CLE) On-Demand Presentation (1.0 Hour) prepared and presented by CloudNine. This CLE-approved webcast session will cover goals for effective searching, what to consider prior to collecting ESI that will be subject to search, mechanisms for culling prior to searching, mechanisms for improving search recall and precision, challenges to effective searching and recommended best practices for searching and validating your search results to ensure effective search results.
This is the e-Discovery Team’s training course on how to do TAR (Technology Assisted Review). What TAR really means is electronic document review enhanced by active machine learning, a type of specialized Artificial Intelligence. Our method of AI-enhanced document review is called Hybrid Multimodal IST Predictive Coding 4.0. The Course is composed of sixteen classes.
ComplexDiscovery | Creative Commons Attribution 4.0 International
Authored by litigation support expert Andrew Haslam of U.K. based Allvision Computing, the The eDisclosure Systems Buyers Guide - 2016...