Are AI-generated contracts legally binding? Insights from a legal expert
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Kevin McHugh
published
Jul 17, 2025
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10 mins

Wondering if an AI-generated contract holds up in court? In this expert Q&A, attorney Morvareed Salehpour breaks down the legal validity of AI-drafted agreements, what makes any contract enforceable, and how businesses can safely introduce AI into their contract workflows without risking legal exposure.
Table of Contents
1. Contracts: The legal foundation
2. Same rules, different tools
3. Who's really responsible? Understanding contract liability
4. The advantages for small businesses
5. Key considerations when reviewing AI-drafted contracts
6. Combining AI efficiency with human expertise
7. Introducing AI to your contract workflow
8. AI-generated contracts: Legally binding, but oversight is needed
- 1. Contracts: The legal foundation
- 2. Same rules, different tools
- 3. Who's really responsible? Understanding contract liability
- 4. The advantages for small businesses
- 5. Key considerations when reviewing AI-drafted contracts
- 6. Combining AI efficiency with human expertise
- 7. Introducing AI to your contract workflow
- 8. AI-generated contracts: Legally binding, but oversight is needed
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Promising to create comprehensive, legally valid contracts in a fraction of the time, AI contract generators have the potential to radically transform how businesses approach agreement creation. But for all their promise, one fundamental question keeps coming up: is an AI-generated contract as legally valid as one crafted by a person?
To get to the bottom of this, we spoke with Morvareed Salehpour, an attorney specializing in technology and commercial contracts with over fifteen years of experience representing startups and established businesses. As a managing attorney specializing in business and technology law, and a recognized speaker on AI-related legal topics, Morvareed helps us navigate the legal implications of AI-generated contracts.
Contracts: The legal foundation
Before we dive into AI-generated contracts, let's cover what actually makes a contract legally binding. According to Morvareed, there are four fundamental elements that must be present for any agreement to be enforceable under the law: offer, acceptance, mutual intent to be bound, and consideration.
"Anything that contains these elements can be a binding contract. It doesn’t even have to be a written document. Take oral agreements, for example. As long as those elements are in place, you've got yourself a contract," says Morvareed.
Here's what those elements look like in practice:
- Offer: This is the initial proposal outlining the terms of the proposed agreement. It needs to be clear and definite so that all parties understand exactly what’s being offered
- Acceptance: The other party must agree to the offer as it stands, without significant changes. This agreement signals their willingness to enter into the contract.
- Mutual Intent to be bound: Both parties need to understand and agree that they’re entering into a legally enforceable agreement. This shared intention is what distinguishes contracts from casual promises or negotiations.
- Consideration: This refers to something of value that each party exchanges. This could be money, services, goods, or a promise to act or refrain from acting. Consideration is what sets a contract apart from a gift.
Together, these elements form the backbone of any contract. Whether drafted by a human or generated by AI, a contract must include these components to be recognized and upheld by the law.
Same rules, different tools
So, are AI-generated contracts as legally binding as those created by a human? The short answer, says Morvareed, is yes.
“As long as the elements of offer, acceptance, intent and consideration are in place, then a contract created using AI can be legally binding."
This means AI-generated agreements are subject to the same fundamental legal requirements that have governed contracts for centuries. In other words, the enforceability of a contract comes down to its content, not how it was created.
“No matter how it’s drafted, a contract must reflect a meeting of the minds and clearly express the intent and understanding of the parties,” states Morvareed. “That clarity is everything. If a contract is ambiguous, it opens the door for disputes and the parties could end up in court.”
What does the law say about using this new technology? There are currently no legal barriers stopping businesses from using AI to generate contracts. Rather than creating entirely new legal frameworks, the law adapts existing principles to new technologies.
“There aren't currently any specific laws, at least in the U.S., regulating or prohibiting the use of AI by businesses in their drafting of contracts,” Morvareed confirms.
Who's really responsible? Understanding contract liability
When AI drafts a contract, who’s ultimately accountable for its legal consequences? The user? The AI tool provider? The AI itself? Given the lack of current legal precedent, the answer is nuanced but fairly straightforward.
“An AI contract generator is a tool designed to help you operate your business more efficiently. Ultimately, you—the business or individual using the tool—are responsible for how you use it, including carefully reviewing and approving the output to ensure it meets your needs and legal requirements,” says Morvareed.
“Like other business tools, most AI contract generators likely have disclaimers and other limitations on their liability that emphasize this responsibility. Ultimately, such tools are being provided to you to use at your discretion.”
Think of an AI contract generator like a GPS. It can guide you through the drafting process based on your input, but you’re still the one driving, and you’re responsible for where you end up. AI can make contract creation faster and easier, but it doesn’t replace the need for human judgment, legal expertise, or accountability.
The advantages for small businesses
The benefits of AI contract generation are compelling, especially for smaller businesses that don’t have the budget for extensive legal support.
“AI can help businesses streamline the contracting process, particularly for routine, low-risk agreements. It can improve consistency and reduce costs, though even simple contracts still benefit from human oversight to ensure they reflect the business’s specific needs and legal context,” Morvareed explains.
“Fairly simple, straightforward contracts that a business might need to create on a recurring basis (such as basic non-disclosure agreements) are an excellent practical use case for AI contract generation, provided the tool is properly trained on up-to-date and jurisdictionally appropriate legal standards,” continues Morvareed. “In these contexts, AI can help them streamline contract creation and keep day-to-day operations and deals quickly moving.”
But AI isn’t a magic solution, and while AI tools excel in specific scenarios, others still require traditional legal expertise.
“Of course, more complicated or complex agreement types require human input and involvement to properly navigate nuanced deal terms, tailor legal structures, negotiate risk allocation, and ensure regulatory and legal compliance across jurisdictions. For example, licensing deals, strategic partnerships, and M&A transactions, and deals involving highly regulated industries are all examples where legal expertise is essential,” clarifies Morvareed.
Key considerations when reviewing AI-drafted contracts
Like any business tool, AI contract generators are most effective when paired with thoughtful human oversight. Understanding where things can go wrong doesn’t mean avoiding AI, but it does mean using it wisely. Morvareed identifies several areas requiring careful attention:
“It’s vital that you review the output of AI contract generators to ensure accuracy and that everything is as you intended. Check that there’s no outdated legal language, that there aren’t any critical terms for the agreement that are missing, and there are no ambiguities around the parties’ obligations or expectations.”
“It’s also important that the contract accounts for the jurisdiction your business operates in and any specific nuances that may be relevant to the laws of that jurisdiction, which can significantly affect enforceability. This also applies to any regulatory or compliance requirements that may be specific to your industry.”
“Finally, watch out for generic boilerplate clauses that may not be appropriate for your specific deal or structure. These provisions are often overlooked, but they can create unintended consequences if not tailored properly, and, once again, make sure you properly review these and have confidence they’re a fit for your needs,” explains Morvareed.
Combining AI efficiency with human expertise
For businesses exploring AI-powered contract generation, one of the most effective and reliable approaches is to use AI to draft the agreement, then have a lawyer review it.
This approach strikes a balance between efficiency and legal assurance. AI handles the initial legwork, producing a working draft quickly. A legal expert can then step in to review the draft, flag key issues, and suggest improvements without needing to build the contract from scratch.
“In some instances, an AI tool can take the laboring oar of getting an agreement done,” says Morvareed. “Then the lawyer comes in, does a high-level review, and makes sure it’s on track.”
This approach can significantly reduce the time and cost of contract creation while giving businesses peace of mind that their agreements are sound.
It also lays the foundation for scalable, repeatable processes. As Morvareed notes, “If you're creating a simple NDA with an AI generator trained on good data, you can have an attorney review it, and if they sign off on it, you can use that version as a template for future use.”
For many businesses, this hybrid approach offers the best of both worlds: faster contract creation, lower costs, and peace of mind that the legal essentials are covered.
Introducing AI to your contract workflow
Bringing AI into your contract processes can deliver real efficiency gains. With the right approach, it can save time, reduce manual work, and free up legal teams for more strategic tasks.
The best way to get started is with straightforward, low-risk documents like NDAs and basic service agreements where the stakes may be relatively low and patterns repeatable. These are ideal for building confidence in the technology and seeing immediate results.
For more complex, high-value agreements, human legal expertise remains essential — not just for review, but for drafting, negotiation, and risk assessment. These contracts often involve nuanced legal considerations and bespoke provisions that need the involvement of an experienced legal professional.
That's why AI works best when it takes care of the repetitive, routine work, which frees up legal and business teams to focus their skills where they matter most, while everyday agreements are handled quickly and efficiently.
Even with AI handling the initial drafting, human review remains critical. Every AI-generated contract should be carefully evaluated to ensure it:
- reflects your specific intent and risk tolerance
- aligns with your business practices
- satisfies any applicable regulatory or legal requirements.
AI accelerates the process, but it’s the careful oversight of your team that ensures each agreement is legally enforceable, aligned with your goals, and truly fit for your purpose.
AI-generated contracts: Legally binding, but oversight is needed
So, are AI-generated contracts legally binding? Yes, as long as they meet the fundamental requirements of a valid agreement: offer, acceptance, intent, and consideration. The law doesn't require a contract to be written by a human, just that it clearly reflects the mutual understanding of the parties involved.
But while AI can draft the words, it’s up to you to make sure those words reflect your actual intentions, meet your business needs, and comply with relevant laws. The law doesn’t change based on how a contract is drafted — it only cares about the content of that contract.
That’s why the smartest approach is using AI as a drafting assistant, not a replacement for legal expertise. An AI contract generator can save time, reduce repetitive work, and help businesses move faster, but ultimate responsibility for the final agreement rests with the person or business using the tool.
About Morvareed
Morvareed Z. Salehpour is a business and technology attorney with over fifteen years of experience helping entrepreneurs, startups, and established businesses navigate contracts, tech transactions, and product launches.
As Managing Attorney of Salehpour Legal, she advises clients across industries like SaaS, AI, and digital health on everything from licensing to mergers and acquisitions. A recognized speaker on emerging technologies and legal issues, Morvareed combines deep legal expertise with a practical, business-focused approach.
For more on Morvareed, visit the Salehpour Legal website or connect with her on LinkedIn.
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