Artificial Intelligence

We help clients build AI governance programs from the ground up. That includes standing up internal AI governance steering committees, designing the frameworks and intake processes that bring legal and business teams together, and putting structures in place that turn high-level AI principles into repeatable, day-to-day practice. Our goal is governance that is practical and scalable, built to support innovation rather than slow it down.

We draft and operationalize the policies that govern how AI is used inside an organization, including enterprise AI use policies and guidelines covering employee and contractor use of AI and machine learning tools. We work closely with internal teams to balance the many competing considerations these tools raise and to keep policies aligned with a rapidly evolving regulatory landscape.

We develop customized AI risk-assessment questionnaires, checklists, and toolkits that allow business stakeholders to spot legal, ethical, and operational issues early, before a tool is deployed. We routinely assess whether a proposed AI use case triggers compliance obligations under emerging AI-specific laws, helping clients make informed decisions and prioritize where attention is needed most.

We negotiate the agreements that put AI to work, including AI-specific contract terms, customized AI addenda for vendor agreements, and data licensing and sharing arrangements. We advise on securing the rights to use data to train models, ownership of model outputs, and the responsibilities and obligations of third-party providers, including in sensitive contexts such as biometric and health data.

As AI increasingly interacts directly with consumers, how its use is disclosed matters. We advise on disclosures for AI chatbots and other consumer-facing tools, helping clients meet requirements under U.S. and global AI laws and guidance while communicating with consumers in a way that is clear, compliant, and friendly.

We bring decades of advertising experience to the unique challenges of marketing AI products. We advise on the substantiation of performance-related claims unique to AI systems, account for the variability of AI outputs, navigate third-party intellectual property concerns, and review ad content across broadcast, digital, and social placements, helping clients launch bold, market-defining campaigns on a sound legal footing.

The use of AI to create, train on, and generate content raises significant intellectual property and trade secret questions. We advise clients on how to use AI responsibly in content creation, how to protect their IP and confidential information, and how to contract with third parties who may use AI when working with client IP and data.

Pricing is increasingly AI-driven, and the legal considerations are growing just as quickly. We counsel clients on the regulatory landscape surrounding algorithmic and dynamic pricing, where fairness, transparency, and consumer protection are paramount, helping them monitor for and address risk in these activities.

We deliver tailored, practical AI training designed to equip in-house legal, business, and product teams to assess AI-related risks and regulatory obligations across jurisdictions. Our sessions translate a complex and shifting legal landscape into guidance teams can actually use.

AI regulation is arriving quickly and unevenly across jurisdictions. We keep clients current on developments including the EU AI Act, Colorado’s AI Act, the Utah AI Policy Act, and other emerging frameworks, and help them build compliance approaches that adapt as new requirements take effect.