Using AI to Draft Contracts: What It Gets Right and What It Does Not

AI tools can produce serviceable contract language quickly. That is genuinely useful in specific situations and genuinely dangerous in others. The difference comes down to what type of contract work you are doing.

For routine agreements based on well-established templates, AI can reduce drafting time significantly. For complex negotiated agreements with jurisdiction-specific provisions or unusual fact patterns, the AI output can produce a document that looks complete while missing the provisions that actually matter.

Where AI Drafting Genuinely Helps

Standard commercial agreements that follow predictable structures benefit from AI drafting assistance. Service agreements, independent contractor agreements, basic vendor terms, client engagement letters. These documents have established patterns, and a qualified professional reviewing an AI-generated first draft can move faster than starting from scratch.

The same applies to high-volume practice contexts. If a practice produces 40 client representation agreements per month that all follow the same structure with customized particulars, AI can generate the boilerplate and the professional handles the specific terms. That is a real time saving.

Plain language explanations of contract terms are also a strong AI use case. When a client needs to understand what a provision means in plain terms, AI produces a clear explanation faster than writing one manually.

Where AI Drafting Fails

Complex negotiated provisions are where AI shows its limits most clearly. An AI tool does not know the negotiation history, the specific risk allocation the parties agreed to, or the particular interpretation the client's business requires. It generates language that sounds reasonable but may not reflect the deal.

Jurisdiction-specific terms are unreliable from AI drafting. The law on what provisions are required versus prohibited varies by state, and AI tools do not reliably flag which clauses are unenforceable in the jurisdiction you are operating in.

Industry-specific agreements require domain knowledge that most AI tools do not have at the level of detail that matters. A healthcare contract, a construction subcontract, or an IP licensing agreement in a specialized technical field has provisions that a general language model will not draft correctly without significant context and careful review.

The Review Process That Cannot Be Skipped

AI-generated contract language should be reviewed by someone who can assess not just whether the language is clear, but whether it reflects the actual intent of the parties and is enforceable in the relevant jurisdiction. That review should treat the AI output as a draft to be interrogated, not a document to be lightly edited.

A useful review question: does this document do what the client actually needs it to do, in the specific circumstances of this deal, in this jurisdiction? If the reviewer cannot answer that question with confidence from the document itself, the document is not ready.

AI makes contract drafting faster. It does not make it easier in the sense that matters most, which is getting the law and the intent right for a specific client in a specific situation.