Why legal text is hard for software
A legal document is not just writing that sounds formal. Each clause is meant to do a specific job, in a specific jurisdiction, for specific parties, and small differences in wording can change who bears a risk. A contract that reads smoothly can still fail to do what its users believe it does.
AI drafting tools are good at producing fluent text in familiar patterns. That is useful as a starting point, but it is also the source of the risk. The text looks professional whether or not it is right for the situation.
This article gives general information and is not legal advice. For anything that matters, a qualified lawyer licensed where the document will be used should review it.
What drafting tools can reasonably help with
Used carefully, these tools can assist with tasks around the legal work, such as:
- Explaining unfamiliar terms in plain language so you can follow a conversation with your lawyer.
- Producing a rough outline of the sections a type of agreement often contains.
- Turning a lawyer-approved template into a first draft with names and dates filled in, which is closer to document processing than to legal reasoning.
- Comparing two versions of a document and listing the differences.
- Summarizing a long document to find the parts that need attention, bearing in mind the cautions in document summaries.
- Tidying formatting, numbering and cross-references.
Tools that help read agreements are discussed in contract review, and the limits there overlap with those below.
Where the limits show up
Jurisdiction and law. Rules about what is enforceable, what must be included and what is prohibited differ across countries, states and even industries. A tool may produce a clause that is common somewhere else, or that is out of date.
Fabricated content. Language models can invent things, including citations to cases, statutes or clauses that do not exist. These fabricated answers can be very convincing. Any reference in a legal document or legal research needs to be verified against a real source.
Missing context. A tool does not know the full facts, the relationship between the parties, their bargaining position, their actual intentions or what has already been agreed. Good legal drafting depends on asking those questions.
Internal inconsistency. A long agreement has defined terms, cross-references and dependencies. Generated text can use a term that is never defined, point to a section that does not exist, or contain clauses that contradict each other.
One-sidedness or gaps. A draft might unintentionally favor one party, omit protections you assumed were there, or leave out boilerplate like governing law and dispute resolution, whose absence can cause real problems later.
False reassurance. A neat document can make people feel the work is done. Problems may only emerge in a dispute, when it is expensive to fix them.
Confidentiality
Contracts and legal matters often contain confidential commercial or personal information. Pasting a full agreement into a tool means that content goes somewhere. Before doing so, check the provider’s terms on storage and reuse, as discussed in what happens to the data you enter, and check whether your contract or professional duties restrict disclosure. Lawyers have their own confidentiality obligations, and clients may too. Following your organization’s AI use policy comes first.
Why professional review matters
Reviewing a document is not just proofreading. A lawyer applies knowledge of the applicable law, spots unusual risks, asks about facts and can be held professionally responsible. A tool cannot take that responsibility, so the responsibility stays with the people who sign and rely on the document, as the principle of accountability would suggest.
For low-stakes, routine documents, a lawyer-approved template may be enough. For significant agreements, such as employment terms, property, financing, partnerships, intellectual property or anything involving large sums or disputes, professional review is generally advised. Cost is a real concern for small organizations, but it can help to compare it with the cost of a defective contract.
A cautious way to work
- Start with a template your lawyer has approved, where possible.
- Use AI for explanation, comparison and formatting, and not as the final author.
- Verify every reference and term the tool produces.
- Keep confidential details out unless the tool is approved for that.
- Have a qualified professional review the final version.
- Record who reviewed it and when, as a basic habit of keeping compliance records.
The comparison with other sensitive uses is useful. As with health and hiring, the tool can speed up preparation, but the judgment and sign-off belong to a person. The wider case for this is made in the piece on why sensitive fields need additional human oversight, and the practice of human review applies here in full.