Data rights come first
In most artificial intelligence agreements, the most consequential terms concern data. Customers want to know whether their inputs and outputs may be used to train or improve the provider's models, how long data is retained, and where it is processed. Confidential business information, personal data, and regulated categories such as health or financial information each raise different issues, and a general confidentiality clause may say nothing about training use. Providers, for their part, usually want rights to aggregated or usage data. Read the data processing terms together with the main agreement, since conflicts between the two are common.
Outputs, accuracy, and responsibility
Ownership of AI outputs is not settled by contract alone, because the US Copyright Office has taken the position that material generated without sufficient human authorship is not protected. The agreement can still allocate rights between the parties and address whether similar outputs may be given to other customers. Many providers disclaim accuracy and cap liability sharply, while some offer indemnities against third-party intellectual property claims that come with conditions and exclusions. Customers in regulated fields should consider who is responsible if an automated decision affects hiring, credit, housing, or health care. Testing rights, audit rights, and the ability to switch a feature off can matter as much as the indemnity.
Fitting the contract to the rules
AI-specific laws are developing at the state level and abroad, and several have staggered effective dates or have been delayed and revised, so obligations should be checked against the current text rather than headlines. New York City, for example, regulates the use of automated tools in certain hiring and promotion decisions. The contract should allocate who handles the notices, assessments, and records that such laws require. In a first review we look at how the tool will be used, what data it will touch, and which side is better placed to carry each risk, and then focus the markup on the terms that matter most rather than on every clause.
