In large and complex corporate litigation, our team parachuted into discovery with quick-fuse deadlines: scoping, designing and managing the acquisition of user, cloud and network data; and conducting both forensic and eDiscovery review of devices and documents. The force multiplier we provide helped meet onerous production deadlines with millions of documents at issue.

In a due diligence review of a merger of regional financial institutions, coordinated investigators, cyber experts, forensic technologists and eDiscovery professionals in a hunt for missing emails, hard drives, and network shares. A team of two employed AI and analytics to cull four million documents to less than twenty thousand, permitting definitive review in under thirty days. As a result, protracted and expensive litigation (and a breakup of the merger)
was forestalled.

In large and complex corporate litigation, our team parachuted into discovery with quick-fuse deadlines: scoping, designing and managing the acquisition of user, cloud and network data; and conducting both forensic and eDiscovery review of devices and documents. The force multiplier we provide helped meet onerous production deadlines with millions of documents at issue.

In a civil business dispute, our team testified for four days as an expert witness that certain business records were prepared after the fact so that Plaintiff could secure a larger interest in their joint business. Using metadata, our team was able to prove that Plaintiff prepared certain contingency documents after the date noted on them. A ruling was made in favor of our client to take majority control of the partnership.

In a large patent trademark infringement case for a publicly traded company, our team assisted with, and attended remote depositions. We were able to conduct on the fly searches during depositions which we were able to discredit witness’s testimony on the fly.

Our team assisted with review for hundreds of wage and hour arbitration cases for a national law firm who represented a Fortune 500 company. Due to the dynamic nature of each arbitrator’s request, our team used AI to cull large data sets down and proposed realistic search terms, which led to saving our client hundreds of thousands of dollars of review time. Our team used work product from multiple cases to further cut down on review costs.

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