The Hidden Cost of Cheap AI: When DIY Legal Docs Don’t Hold Up

In an era where AI can be prompted to generate everything from wedding vows to business plans, it’s no surprise to the legal community that many clients are relying on AI tools to draft their legal documents. Between promising faster results, cost efficient solutions, and apparent efficiency, it’s easy to understand the appeal. But when it comes to the law, cutting corners often leads to bigger problems down the road.

1. The Illusion of Simplicity

Clients tend to be drawn to the brevity of AI generated documents. However, legal documents need specificity. Experienced lawyers understand that comprehensive contracts should anticipate and address a wide range of possible circumstances. By spelling out specific terms, obligations, and contingencies, lawyers can help protect their clients against unexpected issues which may arise.

In contrast, AI generated contracts tend to lack the depth, detail, and personalization needed to protect the parties involved. The simplicity of AI generated contracts can leave critical gaps, exposing parties to risks that often only become apparent when a dispute or complication materializes, while such risks may have been addressed by legal counsel. For example, an AI drafted force majeure clause may state to the client that “neither party shall be liable for delays due to unforeseen events,” without specifying what events are covered or how they should be handled. While this clause may sound sufficient, if a cyberattack disrupts business operations, a broad clause like this may not provide the necessary protections to the business. Consequently, when AI generated content is unclear or missing key language, parties may find themselves facing costly disagreements and legal challenges.

2. Missing Key Clauses

One of the risks of relying on AI generated agreements is the probable exclusion of key contractual provisions. While AI can quickly assemble a document that appears to be complete, it often misses not only foundational contractual elements that are important to the enforceability of an agreement, but other key clauses integral to a client’s specific transaction.

For example, when prompted to “prepare a purchase agreement based on the following facts,” an AI tool may generate a document that covers the basic transaction details such as the names of the parties, a description of the goods or services, and the purchase price. However, it may leave out essential clauses that lawyers know (or ought to know) are necessary to protect their clients’ interests. While some clauses such as the purchase price may be easy to identify if missed, others may slip through the cracks. Each provision serves a specific purpose in managing risk and clarifying expectations. The absence of certain clauses can create legal and financial exposure and may even result in the contract being unenforceable in whole or in part. When these clauses are missing, ambiguous or are poorly drafted, parties may find themselves in disputes, facing unexpected liabilities, or unable to enforce their rights.

3. Internal Inconsistencies

Consistency is fundamental to the clarity and legal reliability of a contract. While AI can produce documents quickly, it lacks the judgment and holistic review that experienced lawyers provide their clients to ensure every part of a contract works together seamlessly. Inconsistencies such as defining a term like “Confidential Information” in one section but “Proprietary Information” in another (without clarifying whether the two are the same), can create confusion about the parties’ actual obligations and the scope of protections. Without this careful oversight, internal inconsistencies can expose parties to unnecessary risks.

Another common issue is incorrect cross-references. Contracts typically rely on references to other sections or schedules to clarify rights and responsibilities. However, AI tools may generate references to sections that do not exist, or point to the wrong part of the document, making it difficult for parties to follow the contract’s logic or enforce its terms. Additionally, AI can inadvertently create conflicting obligations such as stating in one clause that a party must provide 30 days’ notice to terminate, while another clause requires 60 days. These contradictions can lead to disputes over which provision prevails and may even render parts of the contract unenforceable.

Ultimately, consistency is fundamental to the clarity and legal reliability of a contract.

4. Not Legally Binding

If key elements like a clear offer, unambiguous acceptance, consideration (something of value exchanged between the parties), and a mutual intention between the parties aren’t properly addressed, the contract may not be enforceable in court. This is a common trap with AI generated contracts, which can mimic the structure and language of a contract without ensuring that essential legal requirements are met. As a result, parties relying on such documents may find themselves without legal protection if a dispute arises, regardless of how official the contract may appear.

5. Hallucinations

AI’s tendency to “hallucinate” is a significant and often overlooked risk when using AI tools. Hallucination, in this context, refers to AI generated information that sounds convincing but is false or entirely made up, such as generating non-existent legal references or case law. This can happen because instead of verifying the legal accuracy or truth of its output, AI is designed to produce responses that align with the user’s prompt and expectations. For instance, when asked to reference a specific law a party must comply with under a purchase agreement, AI may confidently cite a statute that doesn’t exist, such as the “2021 Digital Transactions Act,” in a jurisdiction where no such law has ever been passed. These fabricated references are often presented in a way that appears legitimate, complete with plausible names, dates, and formatting. The language and structure of these citations can be so convincing that even experienced professionals may not immediately recognize them as fictitious. If prompted to provide sources for its findings, AI may offer links to unrelated or irrelevant websites, or even to pages that do not exist at all. This ability to generate convincing but false information poses a significant risk, as users may be misled into relying on non-existent or inaccurate legal authorities.

Relying on hallucinated information will expose parties to legal risk. Many law societies have warned that AI tools are programmed to give users what it thinks they want, not necessarily what is legally correct or accurate. This means that even if an AI generated document appears thorough and well cited, without verifying each fact, there is no guarantee that the underlying legal references are valid or applicable.

6. The Lawyer’s Dilemma: Fixing What’s Broken

It has become common practice for clients to use AI tools to generate legal documents and then bring that draft to their lawyer for review. While this approach may seem like a good way to save time and money, it often has the opposite effect. Ironically, reviewing and correcting an AI generated contract can take significantly more time (and ultimately cost the client more) than if the lawyer had prepared the contract from the outset. This is because in addition to completing a general review, the lawyer must identify all the flaws in the document, reconstruct missing or incorrect clauses, ensure the agreement complies with relevant laws and regulations, and reconcile any inconsistencies or ambiguities. This process is not only time consuming but can be frustrating for the client, especially when they believed that using AI would streamline the process and reduce costs. In reality, the time and effort required to fix a flawed draft often outweigh any perceived savings.

In other cases, where an AI generated contract is used by the parties without legal review of fact, and a lawyer is only consulted after the contract is signed and a dispute has arisen. If a dispute arises and the contract does not clearly define each party’s rights and obligations, the resulting ambiguity and missing terms can leave both parties vulnerable, with limited options for efficient resolution. This can result in costly litigation, damaged business relationships, and outcomes that could have been avoided if the contract had been properly drafted from the outset.

7. The Real Cost of a Bad Contract: When AI Can Help, and When It Can’t

AI can offer benefits in the legal field, such as streamlining routine tasks, assisting with brainstorming, and making complex legal language more accessible. However, it is important to recognize that these advantages come with significant limitations. Trusting AI blindly or assuming it can replace the expertise of a trained legal professional is risky. AI lacks the nuanced judgment, ethical responsibility, and practical experience that lawyers bring to the table. Just as users should not rely solely on an algorithm for medical care, the same caution should be exercised with legal matters.

While AI can be a useful tool and a helpful starting point, it is not a substitute for professional legal advice. Relying exclusively on AI to draft or review legal documents can result in costly errors, unenforceable agreements, and unintended consequences. In many cases, the expense and effort required to resolve disputes caused by poorly drafted contracts may far exceed the cost of having a lawyer prepare the document properly from the outset.

The most effective approach is to use AI as a supportive or educational resource, leveraging its strengths while understanding its limitations, and to seek professional guidance when it matters most. This balanced strategy helps ensure your interests are protected and avoids the hidden costs that can arise from complete reliance on AI technology.