Relativity
117 Case Studies
A Relativity Case Study
Law In Order, a leading litigation support and document-processing provider in Australia and Singapore, faced a huge eDiscovery challenge for a large energy client: from an initial 6.6 million documents (778 GB) they reduced the corpus to 157,000 keyword-responsive files but had only one lawyer available to review them. To avoid an estimated 1,570 hours of linear review, Law In Order proposed using Relativity’s Assisted Review to efficiently separate relevant from non-relevant material.
Using Relativity Assisted Review, Law In Order trained the system with three 1,000-document rounds plus a 2,226-document QA sample (95% confidence, 2% margin of error), reviewing 5,243 documents in total before auto-categorizing the remaining 152,000. Relativity identified 27,122 responsive, 117,635 non-responsive and 300 uncategorized documents, with a 7.8% overturn rate in QA. The approach reduced review to 3% of the set and cut first-pass review costs to about $29,000 AUD (including analytics) versus $314,000 AUD for linear review—a savings of approximately $285,000 AUD.
Murali Baddula
Head of eDiscovery