Can I Use AI to Draft My Legal Documents?

AI tools are genuinely impressive - I use them myself.  But when it comes to legal documents, there is a gap between what AI can produce and what actually protects your business.

I decided to test a number of AI tools by asking them to prepare legal agreements and draft specific clauses. Here is what I found:

What AI does well

AI can help you understand legal concepts, generate a starting point for standard clauses, and give you a general sense of what a document might cover. For someone with no legal background, that has real value. Think of it like a search engine that writes in full sentences — useful for orientation, not for execution.

Where it falls short — and why that matters

1. Incomplete coverage

In my testing, AI-generated agreements typically captured somewhere between 25 and 30 percent of the clauses a properly drafted document requires. The rest were simply missing.

The risk: What isn't in the document isn't protected. A missing indemnity clause, an absent limitation of liability, or no dispute resolution mechanism can leave you fully exposed in ways you won't discover until something goes wrong.

2. Not reflective of your jurisdiction or current law

AI tools are trained on vast bodies of text, much of it from overseas jurisdictions and not necessarily current. An agreement drafted without reference to Australian law, Queensland courts, the Privacy Act 1988 (Cth), or the Australian Consumer Law may look convincing but be legally ineffective or even unenforceable here.

The risk: You may be operating under a document that doesn't reflect your actual legal obligations, your rights under Australian law, or recent legislative changes. In privacy and data matters in particular, this can expose you to regulatory liability.

3. No understanding of the deal

AI generates generic documents. It doesn't know your business model, your client's risk profile, whether you're a SaaS platform or a hardware company, whether you're contracting with a startup or an ASX-listed enterprise, or what is actually at stake in the transaction.

The risk: A generic document may actively work against you. Liability caps, IP ownership, data handling obligations, and termination rights all need to reflect the specific commercial reality of your deal — not a hypothetical average.

4. Inconsistent clause logic

AI can produce documents where clauses contradict each other — a broad confidentiality obligation in one clause undermined by a carve-out elsewhere, or a termination right that conflicts with an auto-renewal provision.

The risk:  Internal inconsistencies create ambiguity. In a dispute, ambiguity is expensive. Courts interpret inconsistent contracts in ways that may not favour you, and the cost of resolving the ambiguity through litigation can far exceed what you would have paid for proper drafting.

5. Outdated or incorrect legal positions

AI tools have knowledge cutoff dates and are not always trained on the most current case law, legislative amendments, or regulatory guidance. They can confidently state a legal position that is simply wrong or no longer reflects current law.

The risk: Relying on an incorrect legal position can invalidate key provisions of your agreement, expose you to claims you thought you were protected from, or create obligations you didn't intend to assume.

6. Missing definitions

Definitions do a specific and critical job in legal documents — they fix the meaning of key terms so there is no dispute later about what the parties intended. AI-generated documents frequently omit definitions entirely or define terms inconsistently across the document.

The risk: Without a defined term, the scope of an obligation becomes a matter of interpretation. "Confidential Information", "Services", "Intellectual Property" — if these aren't carefully defined, you may find the document means something very different to the other party than it does to you.

7. Doubling up and internal contradictions

In my testing, AI tools sometimes included the same obligation in multiple places with slightly different wording — creating two versions of the same clause that don't quite say the same thing.

The risk: Duplicated provisions with inconsistent language give the other side room to argue which version applies. This is a gift to an opposing lawyer and a headache for you.

8. Failure to use defined terms consistently

A well-drafted agreement defines a term once and uses it consistently throughout. AI tools frequently introduce a defined term and then revert to plain language elsewhere — using "confidential information" in some places and "proprietary information" in others when only one has been defined.

The risk: Inconsistent use of defined terms creates gaps in coverage. If "Confidential Information" is defined but a clause refers to "proprietary information" without definition, that clause may not carry the protection you intended.

9. No accountability

AI tools don't carry professional indemnity insurance. They don't owe you a duty of care. They cannot be held responsible if the document they produce fails to protect you. If a lawyer makes an error, there is a professional and legal framework for recourse. With AI, there is none.

The risk: If an AI-generated document exposes your business to a claim, you bear that cost entirely. There is no recourse, no insurance backstop, and no professional standard that was breached on your behalf.

10. Confidentiality of your information

When you paste your business details, deal terms, or client information into an AI tool, you need to understand where that information goes. Many AI tools use inputs to train their models. You may be inadvertently disclosing confidential commercial information or your client's data to a third-party platform.

The risk:  Depending on your agreements with clients and your obligations under the Privacy Act, sharing information with AI tools may itself constitute a breach of confidentiality or privacy obligations.

The bottom line

AI tools are incredible. I use them a lot. They will continue to get better. But there is a principle that applies here that I think about constantly: you need to know the subject matter before you ask AI to do something — otherwise you don't know what you don't know.

A non-lawyer reading an AI-generated NDA has no way of knowing that 70 percent of the necessary clauses are missing. The document looks complete. It uses legal language. It has headings and numbered clauses. But the gaps are invisible to someone who doesn't know they should be there.

Legal documents are not just paperwork. They are the thing that protects your revenue, your intellectual property, your data, and your relationships when something goes wrong. And something always eventually goes wrong.

Use AI to learn, to explore, to generate a starting point. But when it comes to documents that carry legal weight — get a lawyer who understands your industry to review, adapt, and take responsibility for what goes in front of you and your clients.

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Disclaimer

This article is provided for general information purposes only and does not constitute legal advice. It does not take into account your organisation’s specific circumstances, systems, or regulatory obligations. You should obtain tailored legal advice before taking action.