White Papers, Case Studies & Articles

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Streamline Document Review

White Papers  |  posted on March 19th, 2019  |  Open White Paper

There is a better way. If you have performed any document review projects, regardless of what tool you use, check out how to streamline your document view. Best practices with iCONECT and Avansic.

A Side-By-Side Comparison of Review Methods Proves the Value of Analytics

White Papers  |  posted on January 19th, 2016  |  Request PDF

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 Reduces Cycle Time

White Papers  |  posted on June 15th, 2015  |  Request Case Study

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.

4 Reasons Why They Say You Shouldn’t Use Predictive Review (Part 2)

White Papers  |  posted on June 9th, 2015  |  Request PDF

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.

4 Reasons Why They Say You Shouldn’t Use Predictive Review (Part 1)

White Papers  |  posted on May 5th, 2015  |  Request PDF

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.