By William Webber
My previous post described in some detail the conditions of finite population annotation that apply to e-discovery. To summarize, what we care about (or at least should care about) is not maximizing classifier accuracy in itself, but minimizing the total cost of achieving a target level of recall. The predominant cost in the review stage is that of having human experts train the classifier, and of having human reviewers review the documents that the classifier predicts as responsive. Each relevant document found in training is one fewer that must be looked at in review. Therefore, training example selection methods […]
This entry was posted on Saturday, September 27th, 2014 at 2:26 pm. It is filed under chronology, industry, Technology-Assisted Review. 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.
2016 was an important year in eDiscovery. Did you catch all of the important events and developments that occurred over the course of the year? If you didn’t, here is your chance to catch up! This webcast will cover key events, trends, and developments that occurred over the course of last year and how they impact those in the eDiscovery community.
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.
ComplexDiscovery | Creative Commons Attribution 4.0 International
Given the increasing prevalence of technology assisted review in e-discovery, it seems hard to believe that it was just 19...