Get an AI procurement agreement that matches the deal on the table

Standard supplier terms are often written for ordinary software or services, not for tools that may process large datasets, generate outputs, rely on third-party models or change over time. In an AI deal, businesses often need clearer wording on what data the supplier can access, whether it can use that data for training, what rights exist in outputs, and where responsibility sits if the tool performs poorly or changes materially. A dedicated agreement helps put those points into one contract before rollout, rather than leaving them to assumptions or scattered procurement documents.

An AI procurement agreement will often cover the product or service being supplied, pricing, licence scope, implementation assumptions, data access, confidentiality, intellectual property, output use, service levels, liability limits, termination and post-termination rights. Depending on the deal, it may also deal with subcontractors, third-party models, customer restrictions, audit rights or supplier change processes. The exact drafting depends on the commercial setup and the factual context. Where the supplier will handle sensitive or business-critical information, those operational details can materially affect the contract wording.

The most important details are usually what the tool does, what data goes into it, who can access the system, how outputs will be used and whether the supplier is hosting, customising or fine-tuning the solution. We also look at whether there are integrations, external datasets, sector-specific controls or multiple documents already in play. Privacy wording works best when it is matched to your real collection, use, storage and disclosure practices, so the agreement should reflect the real procurement model rather than generic assumptions about AI products. That is especially important where internal teams will rely on outputs operationally.

Sometimes it can cover the basics, but it often leaves important gaps. A general software template may say little about training data, prompts, outputs, model updates, supplier access to customer information or responsibility for AI-generated results. It may also fail to deal with how the supplier can change the underlying service over time. If the transaction involves automated outputs, sensitive data, customisation or reliance on third-party AI components, a more specific agreement is usually the safer option. It can help reduce risk, but it cannot remove every issue that may arise once the tool is used in practice.

No. This service covers the legal drafting of the procurement agreement itself. Approval depends on the relevant regulator or authority, and requirements can differ for AI Procurement Agreement depending on the authority involved. The fixed-fee does not cover technical deployment, security remediation, internal procurement governance, supplier due diligence investigations or representation in a dispute. If your deal sits in a regulated environment, the agreement can still allocate responsibilities and address relevant risk points, but third-party decisions and operational rollout steps remain outside the document drafting work covered here.

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