Put your AI buying terms into one agreement that matches the real deal

AI procurement deals often involve issues that ordinary software terms only touch lightly, if at all. For example, you may need clarity on what data can be entered into the tool, whether outputs can be reused commercially, who owns improvements, what testing happens before rollout, and where responsibility sits if the system produces unreliable results. If those points are left to generic supplier wording, the commercial position can become unclear quickly. A dedicated agreement helps pin down the actual bargain in legal terms, especially where the AI tool will be used in a meaningful part of your operations.

Most AI procurement agreements deal with the product or service being supplied, licence scope, fees, implementation assumptions, confidentiality, privacy-related obligations, intellectual property, data permissions, output use, testing or acceptance, liability allocation, support arrangements and termination. Some matters also need more detailed wording on retraining rights, audit access, restrictions on high-risk use cases or whether customer information can be used by the supplier. The legal position depends not just on the contract text but also on how the arrangement works in practice, including the way information moves between the parties.

Important details include what AI product is being bought, whether it is customer-facing or internal, what data will be uploaded, whether personal or sensitive information is involved, what outputs your team expects to rely on, and whether there are existing order forms, proposals or platform terms. It also matters whether the supplier is hosting the system, whether multiple vendors are involved and how much operational dependence your business will have on the tool. The practical working model can be just as important as the contract wording, so those practical details shape the drafting.

A precedent can be a starting reference, but tailored drafting is usually safer where the document affects customers, staff, suppliers or regulators. However, many AI deals need more precision than a broad software precedent can offer. Generic wording may not deal properly with input restrictions, output ownership, model training permissions, supplier disclaimers around accuracy, or the difference between a hosted tool and a bespoke AI solution. That can leave important commercial assumptions undocumented.

Tailored drafting is usually more useful where the AI system will handle valuable business information or sit close to customer delivery. It gives you a clearer view of the legal issues that matter most, with final risk management depending on the surrounding facts and business practices.

No. This service is document-led and centres on the procurement agreement itself. We can address privacy wording and data-related clauses within that contract, but it is not a full review of your broader AI governance, internal privacy settings, technical controls or rollout process. How you collect, use and disclose information will shape both the drafting and the advice, so if wider privacy or governance issues sit outside the contract, they may need separate work. Technical implementation, security remediation and ongoing representation are also outside this service.

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