Reshaping Legal Risk and Governance Obligations for Businesses Adopting AI

Artificial intelligence is reducing legal risk and reshaping business operations across virtually every industry. Treating AI adoption as purely a technology decision, without corresponding legal analysis, leaves businesses vulnerable to serious and often preventable consequences.

AI adoption has accelerated faster than internal governance structures and regulatory frameworks can adjust, according to an article from Charles J. Vaccaro of Greenbaum, Rowe, Smith & Davis. Employees frequently use AI tools informally, sometimes without authorization, before companies establish appropriate oversight policies.

Courts are beginning to weigh in, as illustrated by United States v. Heppner, where a federal court determined that the materials a criminal defendant generated through a publicly available AI platform were not shielded by attorney-client privilege or the work product doctrine. According to the ruling, communications with the AI system involved disclosure to a third party.

The article surveys the principal legal risks businesses face when deploying AI, including data privacy breaches, loss of trade secret protection, intellectual property ownership ambiguity, employment discrimination exposure, and vendor contract gaps.

It also addresses AI hallucinations and the risk that unverified AI outputs could produce defective work or mislead decision-makers. The article recommends proactive risk mitigation through internal governance policies, employee training, thorough vendor diligence, and mandatory human review of AI-generated content.

Enterprise risk management frameworks must be updated to specifically address AI-related exposures before integration becomes routine. 

Transactional due diligence should now include review of a target company’s AI governance policies, vendor agreements, and data handling practices. Enforcement trends indicate that courts and regulators are increasingly scrutinizing AI-generated submissions and may impose sanctions for inadequate verification.

Disclosure obligations in regulated industries may be triggered by AI-driven decisions affecting customers or employees. Board governance responsibilities should encompass oversight of AI adoption policies and associated legal risks.