AI Contracts & Governance
Practical counsel where AI enters the transaction.
Commercial and governance support for AI procurement, vendor and customer terms, model and API agreements, data rights, privacy, intellectual property, security, and risk allocation.
AI as a contracting issue
AI governance should connect to the product, the agreement, and the business.
AI issues increasingly arise inside ordinary commercial transactions. The legal work begins with understanding what the system does, what information moves through it, who controls the relevant decisions, and what each party is actually being asked to promise.
AI procurement & vendor terms
AI vendor diligence, procurement terms, permitted and restricted uses, service commitments, security, privacy, and responsibility allocation.
Customer, model & API agreements
Customer-facing AI terms, model and API terms, product commitments, acceptable-use restrictions, and allocation of responsibility between provider and customer.
Data & intellectual property
Prompts, inputs, outputs, training rights, model improvement, derived data, confidentiality, licensing, and intellectual-property ownership and infringement allocation.
Risk allocation
Warranties, indemnification, limitations of liability, security, privacy, acceptable-use restrictions, and responsibility for AI outputs.
Practical governance
Governance that can operate inside the business.
Practical governance can include vendor diligence, permitted and restricted uses, internal approval structures, escalation paths, policies, and implementation of applicable AI and privacy requirements. The goal is not governance in the abstract; it is a workable framework tied to the client's products, people, contracts, and risk.
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AI questions usually become clearer when the actual transaction is mapped.
Initial inquiries are handled by email. Do not send confidential, sensitive, or time-sensitive information before the Law Office confirms an engagement.
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