AI Law

Businesses are moving fast to adopt automation and intelligent tools, but the legal landscape around them is moving just as quickly. Whether you’re building your own models, deploying third-party systems, or exploring what AI can do for your organization, you need clarity on risk, regulation, and how to navigate emerging technology.

We help companies adopt and leverage AI confidently. Our team gives practical, business-focused guidance so you can innovate without stepping into avoidable legal trouble. Alongside our attorneys, we have an internal team of AI engineers, data architects, and developers who support clients with education, adoption, and technical execution.

Helping Organizations Use AI Responsibly

Companies turn to us when they need straightforward answers about what AI tools they can use, how they can use them, and what they need to document along the way. We advise on issues like compliance with emerging state and federal rules or when a tool qualifies as an “automated decision system”. Other common obstacles include understanding disclosure and transparency requirements, data governance and training-data rights, and privacy considerations when building or buying AI tools.

Beyond compliance, we provide education and hands-on training that helps teams understand what AI can do, where its limits are, and how to integrate it into everyday work. Whether you’re experimenting with generative tools or building custom solutions, we develop the playbooks, guardrails, and adoption strategies that make AI practical across your organization. Our technical team supports this work by designing internal workflows, piloting generative tools, and helping you understand how these systems fit into your operational landscape.

We translate complex requirements into clear steps your team can act on, from early adoption through long-term governance.

Managing Risk in Automated Decision-Making

Using AI introduces new commercial, privacy, and operational risks. Do you need assistance with reviewing and strengthening vendor agreements, understanding ownership and IP rights in generated content, building internal governance and approval workflows, or other challenging concepts organizations face? Our goal is simple: help you deploy technology in a way that’s defensible, compliant, and aligned with your business needs.

We also support organizations that are scaling AI beyond simple use cases. If you’re developing custom models, refining workflows with automation, or integrating AI into product offerings, our attorneys and in-house technical team work together to guide model development, training-data strategy, privacy by design, lifecycle governance, and evaluations of accuracy and bias. Whether you’re enhancing a foundation model or creating proprietary tools, we help ensure your innovation roadmap stays aligned with both legal requirements and operational realities.

Support Across Regulated Industries

AI adoption is accelerating in industries where compliance already matters most. We guide organizations in:

• Healthcare
• Finance and insurance
• HR, hiring, and workforce management
• Lending and underwriting

We provide legal certification that your AI tools align with major U.S. regulatory frameworks, including HIPAA, CCPA/CPRA, FCRA, GLBA, Sarbanes-Oxley, PCI DSS, FERPA, FDA guidance for AI technologies, and federal standards enforced by the EEOC and FTC.

Whether you’re introducing a new tool, responding to regulatory changes, or evaluating vendor claims, we help you move forward with confidence.

We Answer Your Questions:

• What rules apply to the AI tools we’re using?
• Can we train models with customer or employee data?
• What belongs in an AI vendor contract?
• How do we manage the risk of inaccurate or biased outputs?
• What documentation should we keep in case regulators ask?
• How do we educate our teams so they can use AI safely and effectively?
• What should leadership know before adopting or building AI?
• If we’re building our own models, what are the privacy, IP, and governance steps we should take now?
• What technical guardrails should we have in place to support responsible model development?
• How do we get our AI systems certified?

If AI is creating new questions inside your organization, we help you find clear, practical answers.