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AI at Work – Drafting an Effective and Compliant AI Workplace Policy

In this episode, partners Jan Cormier, Greg Demers, and Alyssa Horton discuss why employers need a dedicated AI workplace policy, outlining its primary goals of compliance, risk mitigation, and employee guidance. They highlight the legal and reputational dangers of lacking such a policy, especially for investment advisors who could face insider‑trading and fiduciary liabilities if confidential data is fed into public AI tools. The conversation delves into key policy components: clear definitions of AI versus generative AI, governance structures, approved‑tool lists, protected data categories, and specific employment‑related prohibitions to prevent bias, discrimination, and privacy breaches. Finally, they offer practical best‑practice use cases—research, drafting, and summarizing—while emphasizing that AI should augment, not replace, human judgment.