Find out how we helped our clients with their eDiscovery and digital forensics needs.
Check out how we helped our clients with their eDiscovery needs.
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Salient uses innovative parallel processing techniques, AI and keyword search to rapidly and accurately surface 2500 responsive documents out of an initial dataset of 12.5TB.
Salient was recommended to the client (a large insurance company) by their law firm. They approached us to assist in a regulatory collusion case with large volumes of data (12.5TB) resulting from a wide date range.
The client and their legal counsel hoped to optimise the time- and cost-implications of the large data volumes through intelligent culling in order to remain in-budget and one step ahead of the regulator.
Salient ran the data through pre-processing to deduplicate and de-NIST it, applying filters to move it onwards to processing in the eDiscovery platform. Pre-processing was done in parallel with processing and moving data on to review. This enabled us to significantly reduce overall processing times.
AI was then utilised for early case assessment (ECA), along with keyword search to surface responsive documents.
From data collection to review, Salient successfully dealt with six priority custodians in 7 days, reducing 15 million documents to just 7 million documents within a week of ingestion into Reveal. Keyword search surfaced 2500 responsive documents, enabling the client to achieve their goal of fast, cost-effective preliminary insight into the suspected regulatory collusion matter.
The investigation is ongoing and Salient continues to assist the client by using Reveal’s AI capabilities to gain insights through the identification of cluster wheels, similar concepts, entities and players, and interactions outside the organisation.
Salient uses innovative parallel processing techniques, AI and keyword search to rapidly and accurately surface 2500 responsive documents out of an initial dataset of 12.5TB.
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