Data mining is transforming how potential fraud and compliance violations are identified, investigated, prosecuted, and defended across industries.
This presentation will explore:
- how data-driven allegations arise through internal employee complaints
- whistleblower litigation
- and government investigations, including matters involving the False Claims Act, Anti-Kickback Statute, Stark Law, and other regulatory frameworks.
It will examine the challenges organizations face in defending their compliance programs, particularly when advanced analytics raise questions about organizational knowledge, the adequacy of internal investigations, and obligations under Corporate Integrity Agreements or other regulatory oversight arrangements. The central theme is the tension between the growing ability to detect potential misconduct and the legal significance of what organizations know, how they respond, and whether data-driven red flags actually establish wrongdoing.
Presented by Noam Fischman and Douglas Paul, Partners at Akerman, along with an in-house panelist.
1.5 Hours of VA MCLE pending.
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