FCA Does Not Authorize In-House Counsel/Relator to Reveal Client Confidences
Client Alert | 1 min read | 11.18.13
In Fair Lab. Practices Assocs. v. Quest Diagnostics (Oct. 25, 2013), the Second Circuit affirmed the dismissal of a qui tam suit that was brought by a general partnership formed for the purpose of bringing the suit because (1) the partnership included the defendant's former general counsel, and (2) the former general counsel violated his ethical obligations by divulging confidential client information in pursuit of the litigation, notwithstanding that a non-lawyer member of the partnership initiated the suit. While the Second Circuit did not create a bright-line rule barring all in-house lawyers from using client information in FCA cases, it did strike a balance between a lawyer's ethical obligations to the client and the government's competing interest in encouraging "whistleblowers" to report fraud, finding that the disclosure exceeded what was necessary to prevent the client from committing a crime.
Insights
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Over the past several years, the biopharmaceutical industry has embraced artificial intelligence and machine learning (AI/ML) in near lockstep with the pace of AI/ML innovations. Today, industry leaders are using AI/ML to, among other things: discover and assess biological pathways, target chemical structures and sequences; design proteins; model pre-clinical and clinical trials; recruit and screen potential patient populations; evaluate clinical trial results and biomarker data; prepare regulatory filings; and manage supply chains. Deployment of new AI/ML models promises extraordinary advances in pharmaceutical development. However, as with any technological and scientific advances, the use of AI/ML also poses substantial legal risks that life sciences companies need to consider and proactively manage.
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Mining, Indigenous Consultation Rights, and Investment Treaty Protection
