Andrew Adams is the Practice Leader of the Labor and Employment Practice Group at DarrowEverett LLP, where he advises employers on employment law, litigation, compliance, and workforce management. His experience spans employment agreements, workplace policies, mergers and acquisitions, regulatory compliance, and labor disputes. In this episode, Andrew shares practical guidance on how businesses can safely adopt AI while minimizing legal and operational risks.
Here’s a glimpse of what you’ll learn:
- [02:40] The biggest legal risks companies face when implementing AI in the workplace.
- [04:20] Why human oversight remains essential for AI-driven employment decisions.
- [10:50] How using public AI tools can jeopardize attorney-client privilege and confidential business information.
- [12:50] The growing risks of employees using unauthorized AI tools, also known as "shadow AI."
- [17:30] Practical steps every employer should take before rolling out AI across the organization
In this episode:
Artificial intelligence can dramatically improve productivity—but only if businesses implement it with the right safeguards.
In this episode, Adi Klevit interviews Andrew Adams, Practice Leader of the Labor and Employment Practice Group at DarrowEverett LLP, about the rapidly evolving legal landscape surrounding AI in the workplace. Andrew explains how employers can leverage AI to improve efficiency while avoiding costly legal, compliance, and employment issues.
Adi and Andrew discuss one of today's biggest challenges: balancing automation with human judgment. As more organizations use AI to assist with hiring, performance evaluations, layoffs, and other employment decisions, businesses must ensure that humans remain actively involved in reviewing recommendations. Andrew explains how AI models can unintentionally introduce bias or create legal exposure if employers rely solely on automated outputs without proper oversight.
The conversation also explores the growing concern around confidential information. Andrew explains why employees who upload company data into public AI tools may unintentionally expose proprietary information, trade secrets, or even privileged legal communications. He introduces the concept of "shadow AI," where employees independently use unauthorized AI tools without company approval, creating significant security and compliance risks.
Perhaps the biggest takeaway is that AI should be viewed as a business tool—not a replacement for sound judgment. Organizations that establish clear policies, provide employee training, implement secure AI environments, and maintain human oversight will be far better positioned to benefit from AI while minimizing legal and operational risks.
Resources mentioned in this episode:
- Adi Klevit on LinkedIn
- Business Success Consulting Group
- Andrew Adams on LinkedIn
- DarrowEverett Website
Quotable Moments:
- “AI should assist decision-making—not replace human judgment.”
- “Don't hide from AI. Your employees are going to use it.”
- “The biggest risks often come from not understanding where your data is going.”
- “Human review remains one of the strongest safeguards against legal risk.”
- “The best AI strategy combines technology with clear policies and training.
Action Steps:
- Develop a formal AI usage policy that clearly defines approved tools and acceptable uses.
- Keep humans involved in hiring, disciplinary, and termination decisions instead of relying solely on AI recommendations.
- Train employees on the risks of uploading confidential or proprietary information into public AI platforms.
- Evaluate whether your organization should adopt secure enterprise AI or sandbox environments.
- Review contracts, employment policies, and compliance procedures regularly as AI regulations continue to evolve
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