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FRA was retained by a major European-headquartered insurer (market cap: over $60 billion) involved in a legal dispute with a US client. The US-based litigation required a potentially wide-ranging and costly eDiscovery exercise. The matter was also particularly sensitive as it involved highly confidential information, as well as sensitive data from the most senior people in the company. FRA’s task was to work with the insurer’s legal team to take control of the eDiscovery process, keep costs down and ensure compliance with European data protection and commercial secrecy constraints.
FRA analyzed the vast data set and narrowed the focus of the eDiscovery exercise, using data analytics to cull in as defensible a manner as possible so that the lawyers could focus on the richest sources of information. As Technology Assisted Review (TAR) was in its earliest stages at the time, we deployed new software that allowed one and a half attorneys to “train” the system to “learn” to score a few thousand documents in order to then apply relevance ratings to several million more documents. The attorneys were then able to adjust the relevance threshold and perform the document review quicker and with a smaller team.
Our law firm client maintained control over the investigation and was able to settle the matter over a year ahead of schedule in a very cost effective manner, without having to employ dozens of staff attorneys to conduct a review exercise.