Practice

AI for conveyancing: what to automate and what to keep

By Michael Nadalin, Founder, Market Lead · 5 October 2026 · 8 min read

It is 4.40 pm on a Friday. A purchaser client has emailed a 96 page contract for sale with a strata report attached, the agent wants it signed before the weekend, and you have three settlements booked for Monday. The fee is fixed and it is not large. This is the moment AI vendors say they were built for, and for once they are partly right.

Conveyancing is high volume, document heavy and price competitive, so it suits automation better than most practice areas. It is also the area where a single missed easement, a wrong settlement figure or a redirected payment turns into a claim. The useful question is not whether to use AI. It is which tasks you hand over, which you supervise closely, and which you never delegate.

What follows is a working division of labour for an Australian property practice, written on the assumption that you remain personally responsible for everything that leaves your office, because you do.

Start with where the time goes in a file

Before buying anything, map a standard purchase file from instruction to registration and mark each step as reading, writing, checking, deciding or certifying. Most practices find that reading and writing fill the day, while the risk concentrates in checking, deciding and certifying.

That distinction matters because current AI tools are good at reading and writing, uneven at checking, and not permitted to decide or certify. A tool that drafts your initial advice letter in two minutes saves real time. A tool that claims to settle the matter for you is describing something the electronic conveyancing rules do not allow.

A purchase file by type of work
1
Instruction and onboarding
Mostly writing and data entry: cost disclosure, client details, matter opening. Identity verification is a certifying step and stays with a person.
2
Contract and disclosure review
Mostly reading. Long documents, repeated structure, and a known list of things to look for. Strong candidate for AI assistance with human sign off.
3
Searches and enquiries
Ordering is already automated by search providers. Reading the results and spotting what matters is where AI summaries help.
4
Advice to the client
Writing, then deciding. AI can produce a first draft. What you recommend, and what you warn about, is your judgment.
5
Settlement preparation
Checking and arithmetic: adjustments, duty, withholding obligations, payment directions. Use calculators and rules based tools here, not a language model.
6
Settlement and lodgement
Certifying. The subscriber signs in the electronic workspace and gives the certifications. No delegation to software.
Reading and writing steps are candidates for automation. Deciding and certifying steps are not.

What AI does well in a property practice

The strongest use is first pass review of long, structured documents: the contract for sale and its annexures in New South Wales, the section 32 vendor statement in Victoria, the seller disclosure documents in Queensland, strata and owners corporation records, and leases in a commercial acquisition. Ask the tool to extract special conditions, list every departure from the standard form, and identify each easement, covenant and encumbrance with a page reference. Then check its work against the document.

The second strong use is translation into plain English. Clients do not read a fourteen page advice letter. A clear summary of what they are buying, what the risks are and what dates they must meet is something AI drafts well from your own notes, and it is usually the part of the job that gets squeezed on a fixed fee.

The third is the administrative work around the file: chronologies, critical date lists, routine update emails and requisition responses built from your own precedents. None of it is glamorous. All of it adds up.

Conveyancing tasks ranked by suitability for AI
Settlement certifications and digital signing
The participation rules place these on the subscriber personally. Software cannot give them and you cannot blame software for them.
Never delegate
Verifying bank details and payment directions
Payment redirection fraud targets conveyancing. Details are confirmed by phone on a known number, by a person, every time.
Never delegate
Settlement adjustments and duty calculations
Language models make arithmetic and rate errors with total confidence. Use purpose built calculators and check the output.
Wrong tool
Advice on unusual title or planning issues
AI can help you find and read the relevant legislation and cases, but the opinion and the recommendation are yours.
Assist only
First pass contract and disclosure review
Good at extraction and comparison against a standard form, provided every flagged item carries a page reference you can verify.
Automate, then check
Strata and search result summaries
Long records with a few important facts buried in them. AI finds the levy history and the defect references quickly.
Automate, then check
Client updates, chronologies and date lists
Low risk, repetitive and easy to verify at a glance. This is where the time savings arrive first.
Automate
From tasks that should stay entirely human at the top to the safest candidates for automation at the bottom.

Where it goes wrong

The failures in property work are quieter than the invented case citations that make the news. A model reviewing a contract will rarely fabricate a clause. It is more likely to miss one, particularly in a scanned annexure with poor image quality, a handwritten amendment, or a plan where the easement is shown graphically and described nowhere in the text. Silence in an AI summary is not evidence that nothing is there.

The second failure is jurisdiction. Property law in Australia is state and territory law, and the differences are not cosmetic: disclosure regimes, cooling off rights, duty, and standard contract terms all vary. A general purpose chatbot will happily blend Victorian and New South Wales concepts into one confident paragraph. It may also describe a regime as it stood before a recent change. Queensland's seller disclosure regime under the Property Law Act 2023 is a good example of something a model with older training data can get wrong.

The third is confidentiality. A contract contains names, addresses, prices and often financial details. Pasting it into a consumer tool that retains or trains on inputs is hard to reconcile with your duty of confidentiality, regardless of how convenient it was.

Common assumptions and what happens in practice
If the summary does not mention an easement, there is not one.
The tool may not have read the scanned plan at all. Check the title search and the plan yourself.
The AI knows Australian property law.
It knows a blend of several jurisdictions. Specify the state or territory and verify against the current legislation.
It can do the adjustments while it is there.
Language models are unreliable at arithmetic. Use a settlement calculator and check the figures by hand.
A free chatbot is fine for a quick review.
Client documents need a tool with clear terms on retention, training and data location, and your firm's approval.
The tool reviewed it, so the file note is done.
Your file should show what you checked and what you advised. An AI output is a working paper, not a record of your review.
Most AI errors in conveyancing are omissions, not inventions.

What must stay with a person

Some steps are not automatable as a matter of law, whatever the technology can do. Under the Electronic Conveyancing National Law and the participation rules made under it, the subscriber verifies identity, establishes the client's right to deal, holds a proper client authorisation, retains supporting evidence and gives certifications when signing. Those are personal obligations with compliance examinations behind them.

Others stay human because of risk. Bank account details and payment directions are confirmed by a person, by telephone, on a number obtained independently of the email that supplied the details. Tax and withholding questions at settlement, including foreign resident capital gains withholding and GST withholding, need a person to confirm the current position and the documents held. So does any advice that asks the client to accept a risk: an unapproved structure, a short settlement, a problematic special condition. The client is entitled to your judgment on those, and your insurer expects it.

Division of labour across the matter
Automate
Low risk, easy to verify
  • Routine client update emails from matter data
  • Critical date lists and chronologies
  • Plain English summaries drafted from your notes
  • Standard requisition responses from firm precedents
Automate, then check
Useful output that needs a lawyer's eye
  • Extraction of special conditions with page references
  • Comparison against the standard form contract
  • Strata and owners corporation record summaries
  • First draft of the advice letter
Keep
Judgment, certification and money
  • Verification of identity and right to deal
  • Confirming bank details and payment directions by phone
  • Settlement figures, duty and withholding checks
  • Risk advice and the recommendation to proceed
  • Signing and certifying in the electronic workspace
A workable allocation for a residential purchase file.

Introducing it without betting the practice

Start small and start with something you can verify in under a minute. Client updates and date lists are the obvious first step, because an error is visible at a glance and costs little. Move to document review only once you have a written checking procedure: what the reviewer confirms against the source, and how that is recorded on the file.

Run the tool alongside your existing process for a period before relying on it. Give it contracts you have already reviewed and compare the results. You will learn quickly what it misses, and that list becomes your checklist. Tell your staff plainly which tools are approved for client documents and which are not, and consider whether your cost disclosure and engagement terms should say anything about how you use the technology.

A staged rollout for a small property practice
Weeks 1 to 2
Map a standard file. Choose an approved tool after reading its terms on retention, training and data location. Write a one page usage policy.
Weeks 3 to 6
Use it for client updates, date lists and plain English summaries only. Every output is read before it is sent.
Weeks 7 to 12
Run document review in parallel on files you have already reviewed manually. Record every miss and build a checking list from them.
Month 4 onward
Use first pass review on live files with the checking list applied and noted on the file. Title, plans and handwritten amendments are still read by a person.
Every six months
Review the policy, the misses and any changes to legislation, participation rules or professional guidance in your state or territory.
Each stage is earned by the one before it.

The test to apply to any tool

Ask three questions of any product pitched to a property practice. Does it show you where in the source document each statement comes from, so you can check it? Does it know which Australian jurisdiction it is working in and say so? Does it keep your client's documents confidential on terms you have read? A tool that fails any of the three will cost you more in checking and worry than it saves.

For the research side of property work, such as an unusual covenant, a caveat dispute or a question about a disclosure obligation, the same test applies. A tool like Legal Brain is built around Australian sources and citations you can verify, which is the minimum standard. You still read the authority before relying on it.

The practices that do well with AI in conveyancing will not be the ones that automate the most. They will be the ones that are clear about the line: machines read and draft, people check, decide and certify. Fixed fee work rewards that clarity, and so does your insurer.

Frequently asked questions

Can AI review a contract for sale of land in Australia?

It can do a useful first pass: extracting special conditions, flagging departures from the standard form and listing encumbrances with page references. It cannot replace your review. Scanned plans, handwritten amendments and poor quality annexures are commonly missed, so the title, plans and any flagged items still need to be read by a lawyer or licensed conveyancer.

Is it safe to upload client contracts to ChatGPT or similar tools?

Not without checking the terms first. Contracts contain personal and financial information covered by your duty of confidentiality, and some consumer tools retain inputs or use them for training. Use a tool your firm has approved after reading its terms on retention, training and where data is stored.

Can AI handle settlement on PEXA for me?

No. Under the electronic conveyancing framework the subscriber is responsible for verifying identity, establishing the right to deal, holding a client authorisation and giving certifications when signing. Software can prepare information for you, but the signing and certifying are personal obligations.

Will AI replace conveyancers and property solicitors?

It will replace some of the reading and drafting time on each file, which matters in fixed fee work. It does not replace the steps that carry the legal responsibility: identity, certification, money handling and advice on risk. The more likely change is that practices using it well can handle more files at the same standard.

Check your understanding

Two quick questions

No score is stored. Pick an answer to see why it is right.

  1. 1An AI summary of a contract for sale does not mention any easements. What is the correct conclusion?

  2. 2Which of these tasks is the safest starting point for AI in a conveyancing practice?

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