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Time is running out and the new year will be here before you know it—what are you going to do for a review platform next year?!
Paragon Legal Technology Support, a managed services provider to specialized litigation groups based out of Atlanta, Georgia (www.paragonafa.com), recently concluded a multi-year review project utilizing iCONECT’s XERA® document review platform, in combination with XERA Analytics (powered by CAAT® from Content Analyst Company). This project provided a unique opportunity to quantify the difference in results between a “linear” review versus an “analytics review.” Rarely does one litigation matter provide the unique scenario to have the same review teams reviewing the same datasets using different methods within a compressed time period. Such were the circumstances during Paragon’s recent document review of 7TB of data.
LogicForce Consulting has adopted the best-of-breed approach to eDiscovery, but they found that using a variety of different tools led to inefficient processes. Learn how LogicForce reduced cycle time by more than 60% using the Direct to Database (D2D) integration between Nuix eDiscovery Workstation and iCONECT-XERA.
Even though predictive review has been proven to be more accurate, reduce cost and create a balance between cost and benefit, it is difficult to justify an alternative to the traditional review process… In Part 2 of this series, we discuss the three other major justifications for not adopting predictive review.
We are swimming in data. According to IBM, we create 2.5 quintillion bytes of data every day, and that number is growing faster than ever. Ninety percent of the data in the world has been created in the past two years and “The Internet of Things” will create even more without human intervention. All this data—combined with tight timelines for litigation and regulatory investigations—can make document review projects impossible through traditional means and in some cases technological assistance becomes a must to meet the deadline.
In Part 1 of this series, we discuss the first of four major justifications for not adopting predictive review.