AI Clauses in Commercial Contracts: Clauses Becoming Standard
Many suppliers are now using AI somewhere in their delivery chain, whether or not the contract says so. This guide explores seven AI-related contractual provisions that are becoming increasingly common, the areas that remain heavily negotiated, and practical drafting language for both customers and suppliers.
Download the Guide
.webp)
Key Takeaways
It's not about buying "AI services"
This is about ordinary commercial agreements, software, consulting, manufacturing, distribution. Where AI has quietly entered the delivery chain.
Define "AI" before you negotiate anything else
Broad, undefined references to "AI" and "data" create the loopholes you'll regret later. The guide gives you example definitions precise enough to close them.
Know where your data goes
The most commercially sensitive clause is whether your data can train a supplier's models. We show you the language that stops it and the compromise suppliers will actually accept.
7 clauses are now standard, 3 are contested
Disclosure, data restrictions, output ownership, audit rights and more are becoming expected. Accuracy warranties, hallucination liability and training-data indemnities are still up for grabs.
Tie obligations to measurable standards
"High quality" means nothing in a dispute. The guide shows you how to anchor supplier obligations to specifications you can actually hold them to.
Spot the red flags before you sign
Every clause comes with the warning signs. The "at supplier's discretion" language and blanket disclaimers that look harmless and aren't.
.png)
AI is already in your contracts. The question is whether your contracts are ready for it.
AI is increasingly embedded in how businesses deliver products and services. Whether you're buying consulting, licensing software, outsourcing manufacturing or entering a distribution agreement, there's a growing likelihood your counterparty is using AI somewhere in the chain and that means your contracts need to address it. This isn't about procuring "AI services" as a category. It's about the AI provisions now appearing in standard commercial terms: data restrictions, training prohibitions, output ownership, disclosure obligations.
At ThoughtRiver, we've been helping businesses and law firms review contracts with AI for over a decade, and we've watched this shift happen in real time.
What's already becoming standard
Across SaaS, professional services, manufacturing and distribution agreements, a core set of AI clauses is becoming increasingly common. The guide walks through all seven from how you define AI, to who owns what it produces, to what happens when something goes wrong. With buyer-friendly example language, the supplier pushback to expect, and a realistic compromise for each.
What's still being fought over
Three areas remain genuinely contested: will a vendor warrant that its AI is accurate, who's liable when AI generates convincing but false outputs, and who carries the risk if a model was trained on copyrighted material.
Courts are beginning to weigh in. A 2024 tribunal decision confirmed that businesses remain liable for what their own chatbots tell customers.
This guide gives you the arguments and language to negotiate each.
Why this matters now
The EU AI Act is now in force, and a growing number of US states have introduced AI-related legislation. As organisations increasingly embed AI into their products, services and operations, AI-related contractual provisions are becoming more common, while market practice continues to evolve alongside emerging regulation and case law. Treat this guide as a practical reference, not a definitive statement of market practice, and use it to ask the right questions before today's negotiated provisions become tomorrow's boilerplate.
