As companies increasingly adopt AI, legal practitioners highlight that the greatest risk lies in liability clauses, with many contracts inadequately addressing accountability for errors, biases, or unlawful content generated by AI systems.
Businesses adopting artificial intelligence are increasingly discovering that the central risk is not what the software can do, but what happens when it is wrong. The most important issue in an AI vendor contract is often not price, uptime or storage terms, but liability. If an AI system produces a defective recommendation, a misleading summary or unlawful content, the key question is simple: who carries the loss? The answer, lawyers say, is often less protective than buyers expect.
That matters because AI agreements are not like ordinary software licences. Traditional tools execute instructions, but AI systems generate content, predictions and decisions that may be inaccurate, biased or based on incomplete context. Legal commentators say many vendors try to shift responsibility back to the customer by disclaiming accuracy, requiring independent verification and limiting remedies to the fees paid over a short period. In practice, that can leave the customer holding the risk for errors it did not create.
The exposure is not theoretical. An AI-generated marketing campaign could reproduce protected material, a hiring tool could produce discriminatory recommendations, and a customer service chatbot could give advice that causes financial harm. Industry analysis suggests only a minority of vendors offer strong indemnities for intellectual property claims, and even fewer commit broadly to regulatory compliance. Other contract guides note that businesses should also focus on data training rights, retention limits, security obligations, sub-processors, output ownership and the ability to terminate if the vendor changes terms.
That is why lawyers increasingly describe AI governance as a contract issue before it is a technology issue. According to practitioners who advise on AI procurement, the agreement should spell out when human review is required, who owns AI-generated output, how confidential information is handled, what happens after a security incident and who pays if a third party brings a claim. Without those points set out clearly, the customer may be accepting an accountability gap in which the vendor controls the system but the user absorbs the consequences.
The practical lesson is to treat AI procurement as a higher-risk exercise than buying standard business software. Organisations should read the indemnity language, the liability cap, the data-use terms and the vendor’s compliance promises with particular care. As legal advisers note, the right contract cannot eliminate every risk, but it can prevent a business from discovering too late that the most important clause was missing altogether.
Disclaimer: This content is intended for informational purposes only. Readers are advised to exercise their own judgement, conduct due diligence, or consult a qualified expert before acting on any information provided.
