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Healthcare Fraud & Anti-Kickback

GWA PLLC Processes 1M+ Documents in $35M Healthcare Fraud Case

How Gregor Wynne Arney and an embedded DecoverAI team stood up a custom ingestion pipeline in days—turning 1M+ documents into a searchable advantage and giving the defense the winning edge in a complex healthcare fraud and anti-kickback investigation.

Case Summary

Premier boutique law firm Gregor Wynne Arney (GWA) PLLC faced an immense challenge: sifting through over a million documents and extensive datasets tied to a complex $35 million healthcare fraud and anti-kickback case. With strict time constraints and a critical need for meticulous document analysis, the firm turned to DecoverAI for assistance.

GWA sought a solution that could accelerate and refine the document review process. By leveraging DecoverAI's capabilities, the legal team rapidly distills and organizes massive volumes of data, allowing them to extract crucial insights and identify key evidence with unprecedented speed and accuracy, ultimately strengthening their case strategy.

Getting a corpus this large into a usable state is its own battle. Rather than hand GWA a generic platform, the DecoverAI team embedded with the investigation and built custom ingestion to the matter's sources—standing up the full dataset in days. What would have meant weeks of vendor coordination was operational almost immediately, and the firm started building its theory of the case while opposing counsel was still wrangling their own data.

Why GWA Chose DecoverAI

Impact

By incorporating DecoverAI into its workflow, GWA achieved the following:

The collaboration between GWA and DecoverAI showcases the impact of an embedded partner in modern litigation support—not just software, but a team that builds what the matter demands. In time-sensitive, high-stakes white-collar crime matters, that combination is what converts an overwhelming document set into a decisive, defensible edge.

Obtaining the correct information on queries that used to take several hours of reviewing and analyzing 1,000s of documents on various e-discovery platforms is now possible in a single question.

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