Organizations adopting artificial intelligence face growing legal risk tied to privacy, security, automated decision-making laws, and emerging state and federal regulation. Whether you’re deploying third-party systems, building proprietary models, or exploring generative AI internally, you need clarity on risk, regulation, and how to move forward responsibly.

Our AI Law attorneys and in-house technical team provide practical guidance that helps organizations adopt AI responsibly, document decisions defensibly, and scale innovation with confidence. This is not theoretical counsel. It is real-world guidance designed to help your organization move faster, with fewer surprises.

We help organizations adopt and leverage AI confidently with practical, business-focused legal guidance that supports innovation 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 strategy, 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 compliance with emerging state and federal rules, including when a tool qualifies as an automated decision system. We also help clients navigate disclosure and transparency requirements, data governance, training-data rights, and privacy considerations when building or buying AI tools.

Beyond compliance, we provide education and hands-on training so 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.

Managing Risk in Automated Decision-Making

Using AI introduces new commercial, privacy, and operational risks. We help organizations strengthen vendor agreements, clarify ownership and IP rights in generated content, and build internal governance and approval workflows that support defensible decision-making.

For organizations scaling AI beyond simple use cases, 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 legal requirements and operational realities.

Support Across Regulated Industries

AI adoption is accelerating in industries where compliance already matters most. We support organizations across New York State and nationwide, including companies operating in highly regulated environments such as healthcare, finance and insurance, HR and workforce management, and lending and underwriting. We also provide legal certification that AI tools align with major U.S. regulatory frameworks, including:

• HIPAA
• CCPA/CPRA
• FCRA
• GLBA
• Sarbanes-Oxley
• PCI DSS
• FERPA
• FDA AI guidance
  EEOC and FTC enforcement standards

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 privacy, IP, and governance steps should we take now?
• What technical guardrails should we have in place to support responsible model development?
• How do we get our AI systems certified?
• Do we need an AI policy for internal staff use of ChatGPT or Copilot?
• What AI disclosures are required for customers, patients, or employees?

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