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This entry was posted on Friday, February 15th, 2013 at 12:53 pm. It is filed under chronology, risk and tagged with information governance, privacy, risk, security. You can follow any responses to this entry through the RSS 2.0 feed.
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Since its 2007 introduction, kCura’s Relativity product has become one of the world’s leading attorney review platforms. One of the elements of Relativity’s strong growth and marketplace acceptance has been kCura’s focus on and support of partnerships. Provided as a by-product of review platform research and presented in the form of a simple and sortable table is an aggregation of kCura Premium Hosting Partners and Consulting Partners.
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 both the software and service areas of the electronic discovery market for the years between 2013 and 2018.
by Herbert L Roitblat, Ph.D. When considering the measurement of eDiscovery accuracy, there are many alternatives available. As I have said elsewhere , measurement of eDiscovery accuracy is a critical enterprise, but the pendulum may have swung too far toward complex measurement. We should not let our concern about measurement overwhelm our process. The most […]
First Example of How to Calculate Recall Using the ei-Recall Method: Here we assume a review project of 100,000 documents. By the end of the search and review, when we could no longer find any more relevant documents, we decided to stop and run our ei-Recall quality assurance test. We had by then found and verified 8,000 relevant documents, the True Positives .
In July 2014, attorney Maura Grossman and professor Gordon Cormack introduced a new protocol for Technology Assisted Review that they showed could cut review time and costs substantially. Called Continuous Active Learning (“CAL”), this new approach differed from traditional TAR methods because it employed continuous learning throughout the review, rather than the one-time training used by most TAR technologies.
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