“I run a trade business as an electrician. I asked AI to a contract for my customers. It looks professional and covers the basics. Surely that’s enough?”
It is a question more Australian trade business owners are asking.
If you run an electrical, plumbing, building, landscaping, mechanical or other trade business, you know your trade. You understand what can go wrong on a job, what materials cost, how delays affect a project and why getting paid on time matters.
But knowing your trade and knowing how those risks should be dealt with legally in a contract are two very different things.
AI can produce a contract in seconds. It can look polished, use legal terminology and contain all the headings you would expect to see.
The problem is not necessarily what you can see. It is what is missing, inconsistent, inappropriate or legally ineffective that can create the real risk.
AI can be a useful starting point, not the finishing point
It’s easy to see the appeal of using AI. Many trade businesses don’t have a contract at all, or are relying on something a mate sent them years ago. AI is fast, available any time, and can produce something usable in the time it takes to quote a job, at a fraction of the cost of engaging a lawyer from scratch. For a business that’s never had a proper customer agreement, an AI draft is often a genuine improvement on having nothing. Used the right way, it can also save on legal fees later, a well-thought-through AI draft gives your lawyer a clear starting point, rather than a blank page.
AI can help you think through what you want from an agreement before speaking with a lawyer: payment, delays, variations, materials, subcontractors, warranties, IP, and cancellation. That preparation can make the legal process more efficient.
However, the danger is assuming that because an AI-generated contract sounds legal, it is legally sound. The Federal Court of Australia itself warns that generative AI can produce fictitious cases, incorrect statements of law, and factual errors.
For example, in one commercial matter, a supplier’s AI-drafted contract dealt with rebates worth hundreds of thousands of dollars a year. Beyond irregular formatting, the document failed to clearly establish what triggered the rebate, which products qualified, how the calculation worked, and when payment was due. Reverse-engineering the parties’ actual intentions required more legal work than drafting the agreement properly from the start would have.
AI only knows what you tell it
You know how to prompt AI about your trade (deposits, progress payments, variations, access). What you may not know is what Australian law requires, or whether the wording AI produces actually achieves what you intended.
You can’t prompt AI about a risk you don’t know exists.
If your instructions are vague or heavily weighted toward “protect my business,” the result can be one-sided terms that are unenforceable under Australia’s unfair contract term laws.
AI also tends to follow instructions even when the instruction reflects a misunderstanding of the transaction. A lawyer’s job isn’t just to convert instructions into legal wording, it’s to question whether a clause is actually necessary or could create unintended consequences.
Clauses need to work together
A contract isn’t a set of independent paragraphs. Say your contract requires final payment on “completion.” What does that mean? What if there’s a minor defect, or the customer refuses access to finish the job? One unclear definition can affect payment, variations, termination, and liability all at once.
In one of our matters, a corporate transactions involving staged integration and supply arrangements, AI-generated clauses had been inserted into the contract without being reconciled against each other. Individually, each clause looked reasonable on its face. However, together, they really didn’t align with one another. Extensive legal review was needed to work out what the parties actually intended and what had to be redrafted.
The quality of ChatGPT’s output depends on the quality of the input it gets. This dependence on input quality is a critical aspect to consider when using ChatGPT.
If the input provided is ambiguous, incomplete, or flawed, the AI’s output will likely mirror these deficiencies. If the user’s prompt is unclear or poorly explained, ChatGPT might give an unclear or irrelevant answer.
ChatGPT struggles to understand incomplete or unclear information because it’s AI lacks human creativity and abilities. It solely relies on the data it receives in the query and the patterns it learns from its training data.
One AI contract used 50 times is 50 problems, not one
The bigger risk isn’t using an AI-generated agreement once, it’s using it as your standard template. An unnoticed flaw gets repeated across every job. For example:
- Liability & indemnity: a cap that doesn’t actually limit exposure once another clause is factored in
- Payment & termination: ending the contract without addressing deposits or completed work
- Variations: no clarity on when a variation is authorised or who approves it
- Completion: payment tied to a term (“completion,” “defects”) that’s never defined
- IP & subcontractors: ownership and responsibility left unaddressed
Fixing the template later doesn’t fix the contracts already signed under it.
Unfair contract terms: a real legal risk
Since 9 November 2023, the ACCC prohibits proposing or relying on unfair terms in standard form contracts with consumers and small businesses (now extended to businesses with under 100 employees or turnover below $10 million), with penalties attached.
Telling AI to “write a contract that protects my business as much as possible” doesn’t produce better protection. It can produce terms that are legally unenforceable. The better question isn’t “does this favour my business,” but “does this protect my legitimate interests while remaining legally effective.”
AI during negotiations can remove context, not add it
Business owners increasingly paste proposed amendments into AI and ask “should I accept this?” But an AI recommendation made on one clause in isolation doesn’t know why the original wording exists. For example, clauses are often tailored to suit the client’s bargaining position, the transaction’s value, or a compromise reached elsewhere in the negotiation. AI won’t have visibility over these nuances, unless you tell it!
The result can be extra rounds of negotiation just to explain why an AI-suggested change doesn’t achieve what the client thinks it does.
The clauses that deserve close attention
When reviewing a customer contract for trade businesses, some provisions deserve particular attention because they can determine where significant financial risk ultimately sits.
- Payment, deposits and variations determine when money becomes payable, how additional work is authorised, whether an invoice can be disputed and what happens when scope changes.
- Liability and indemnity clauses determine who bears particular losses and whether attempts to limit liability actually interact properly with the rest of the agreement.
- Scope, performance and completion provisions determine what you have actually promised to deliver and when your contractual obligations have been satisfied.
- Termination clauses determine when you or the customer can end the agreement and what happens to unfinished work, materials, deposits, outstanding invoices and continuing obligations.
- Intellectual property clauses can determine ownership and permitted use of plans, drawings, designs, specifications and other valuable materials.
- Confidentiality, privacy and data provisions can become important where your business handles customer, project or commercially sensitive information.
- Dispute-resolution and governing-law provisions influence what happens when the relationship breaks down and how a dispute progresses.
It is not enough for an AI-generated contract to contain headings for each of these matters. The clauses must reflect the actual commercial arrangement and work together.
A contract also has to be implemented properly
Drafting isn’t the end of the job. In one matter, an employment agreement template had been properly prepared, but never signed. AI won’t ask whether everyone who needs to sign has signed, whether the right entities are named, or whether schedules are complete. AI can even miss when modern awards or enterprise agreements apply. That’s a crucial part of legal advice too.
Prompts to use before you call a lawyer
Remember, use AI to prepare, not to replace your lawyer. Here is an example prompt that might get you a better starting point using AI for your business:
“I run an Australian [electrical/plumbing/building/landscaping] business. Ask me questions about how my jobs operate that I should discuss with a commercial lawyer before they prepare or review my customer contract. Cover scope, quotes, deposits, progress payments, variations, delays, materials, access, subcontractors, completion, defects, warranties, cancellation, outstanding payments and disputes. Do not draft the legal clauses.”
And: “What questions haven’t I thought to ask?”
A simple process for using AI-generated contracts
A straightforward process can help you use AI as a preparation tool while ensuring your contract is properly reviewed before it becomes part of your business:
- Think it through first: document how your jobs actually run and where disputes have happened before.
- Bring us what you have: your existing contract or AI draft, plus your concerns. There’s no need to hide that you’ve used AI; it helps us see what’s already been considered.
- Get it properly reviewed: we check whether the agreement works as a whole, not just whether individual clauses sound right.
- Use it with confidence, and revisit it as your business, pricing, or services change.
Following these steps gives your lawyer the practical context needed to assess the contract properly and helps turn an AI-generated draft into an agreement that is clearer, more reliable and better suited to your trade business.
Spending less upfront can cost far more later
Legal review isn’t about making a document look more legal. It’s about catching problems before you’re chasing an unpaid invoice or defending a dispute. AI drafting that looks free at the start can mean substantial legal time later untangling what the document was meant to say.
For example, we have had clients spend a smaller amount upfront on an AI-generated draft, only to find that it was not fit for purpose or required extensive redrafting. In those cases, the work needed to identify the problems, reconstruct the intended agreement and make the contract usable meant our fixed fee was actually higher than it would have been if we had been engaged to prepare a suitable contract from the outset. This is why lawyer-drafted templates and contracts win.
Have questions about your contracts?
Contact our qualified contract lawyers at Prosper Law if you’d like us to review your existing customer contract, whether it’s AI-generated, inherited, or years old. We’ll check whether it reflects how your business actually operates, protects your commercial interests, and holds up under Australian law.
Frequently Asked Questions
Can I use an AI-generated contract for my trade business in Australia?
You can use AI to assist with preparing a customer contract, but AI-generated wording should not be assumed to comply with Australian law or suit your trade business. Legal review can help identify issues before the contract is used with customers.
Is an AI-generated customer contract legally binding in Australia?
Potentially, yes. A contract does not become invalid simply because AI helped draft it. However, individual terms may still be unclear, ineffective or unenforceable, depending on the wording, circumstances and applicable Australian law.
When should I get my trade customer contract reviewed by a lawyer?
Ideally, before you begin using it with customers. You should also consider a review when your services, pricing, payment processes or business practices change, or if the same contractual issue keeps arising with customers.
Can I use the same customer contract for every trade job?
Not necessarily. A standard contract can provide a useful foundation, but different jobs may involve different risks, values, scopes or legal requirements. Your contract should be appropriate for the type of work you are undertaking.
Can an AI-generated contract contain unfair contract terms?
Yes. AI can generate one-sided provisions that may create issues under Australia’s unfair contract terms laws. Asking AI to make a contract highly protective of your business does not mean those protections will necessarily be legally effective.
What should I do if I have already used an AI-generated contract with customers?
Having the current template reviewed can help identify potential issues and improve the contract you use going forward. If a dispute has already arisen, legal advice should be sought about that customer agreement.
About the Author
Farrah Motley
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