AI in Property Transactions: Enquiries, Reports and Client Updates

Property transactions are fertile ground for AI:

repetitive forms and enquiries;
long reports on title; and
frequent client updates about where things have got to.

At the same time, conveyancing is high volume, deadline-driven work where mistakes are expensive. AI needs to reduce risk and stress, not add to them.

This article looks at how AI can help with standard enquiries, reports on title and progress updates — and how to keep partners comfortable with the risk.

1. Standard enquiries and replies

Much of the back-and-forth in property work centres on:

standard enquiries (for example, Conveyancing Protocol or LPE1 enquiries);
bespoke additional questions; and
replies from the other side.

AI can assist by:

classifying enquiries (title, planning, consents, service charges, management issues);
matching replies to internal precedent answers or guidance;
suggesting first-pass replies based on information you already have on file.

A safe pattern is:

You collect relevant information (office copy entries, search results, management packs, client instructions).
AI proposes a draft reply in neutral, professional language.
You check it against documents and your own understanding before sending.

Clear red lines:

AI must not guess; if information is missing, the draft should say so.
only lawyers decide whether an issue is “satisfactory” or needs further investigation or indemnity insurance.

2. Reports on title: structure and repetition

Reports on title are often long and repetitive. AI can help to:

create standard structures for different transaction types (freehold purchase, leasehold flat, new build, remortgage);
pull key details (parties, price, property address, tenure, title numbers) into the right sections;
summarise routine provisions (for example, typical service charge or repair clauses) in plain English.

The workflow might be:

start from a firm-approved report template;
ask AI to populate certain sections from the documents you select;
review and edit the output, adding your own commentary on risk and recommendations.

Partners remain responsible for:

identifying unusual or onerous terms;
advising on whether the client should proceed and on what conditions;
ensuring the report reflects the client’s objectives and risk appetite.

AI should therefore be treated as a drafting assistant, not as your opinion.

3. Progress updates and client communication

Clients buying or selling property often need:

reassurance that things are moving;
clarity about what happens next;
reminders of what they need to do (ID, funds, mortgage offers, searches).

AI can help:

turn matter chronologies into short, client-friendly updates (“What has happened since our last update?”);
generate checklists of outstanding client actions;
rephrase technical steps into plain English suitable for first-time buyers or busy investors.

This works best when:

updates are generated from facts already in your case management system;
you review the draft for tone and accuracy;
you make it clear to clients that they can ask questions if anything is unclear.

4. Managing searches, conditions and key dates

Conveyancing involves multiple dates and dependencies:

search results;
mortgage offers;
exchange and completion;
long-stop dates and conditions precedent.

AI can support this by:

extracting key dates and conditions from contract packs, mortgage instructions and correspondence;
suggesting tasks (“Check search result X”, “Chase mortgage offer”, “Confirm buildings insurance before exchange”);
feeding those tasks into your central task and diary system with named owners.

Again, your systems should make clear:

which deadlines are contractual or lender requirements;
which are internal planning milestones;
where follow-up has been done and recorded.

5. Leasehold and managed properties

Leasehold transactions and managed properties add extra layers of documents:

leases and variations;
management packs;
service charge accounts and budgets;
fire safety and compliance documents.

AI can help by:

scanning these for key items (repair obligations, service charge mechanisms, restrictions on alterations or subletting);
highlighting unusual or particularly restrictive terms;
creating tables summarising key lease data for the report on title.

But decisions about what actually matters for a particular client — for example, an investor vs an owner-occupier — remain squarely with the lawyer.

6. Risk, lenders and professional standards

Lenders, insurers and regulators all care about how firms manage risk in property work. When using AI:

use only approved tools within governed environments (case management, DMS, or properly contracted cloud services);
keep prompts and outputs as part of the file so that your reasoning can be reconstructed;
ensure that final documents are always reviewed and signed off by qualified fee-earners.

It can help to have clear internal statements such as:

“AI may assist with drafting and summarising, but does not replace manual checklist reviews of title, searches and enquiries.”
“Any AI-assisted reports on title must be reviewed line by line before being sent.”

Where OrdoLux fits

OrdoLux is being designed to support transactional workflows like property work:

enquiries, replies, searches and reports sit within the matter file;
AI can help extract key data, suggest replies and populate report templates;
tasks, deadlines and client updates are generated from the same underlying record;
supervisors can see both the AI-assisted drafts and the final signed-off versions.

The result is a conveyancing workflow where AI takes away repetitive drafting and date-chasing — while partners remain firmly in control of risk and advice.

This article is general information for practitioners — not legal advice or guidance on lender or professional requirements for property work.

Looking for legal case management software?

OrdoLux is legal case management software for UK solicitors, designed to make matter management, documents, time recording and AI assistance feel like one joined-up system. Learn more on the OrdoLux website.