A wood-panelled library with shelves of bound volumes, a brass desk lamp, and a figure reading at a table, defocused.
Conveyancing

AI agents for conveyancing.

Designed, built, and run for UK conveyancing firms. Agents take on the process work that fills the days between instruction and completion. You only pay when the agent delivers. Failed outputs aren't billed.

The State of Play

The average transaction takes around 120 days to reach completion. [1][2]

Very little of that is legal judgement. It's waiting on searches with no statutory turnaround. It's chasing third parties who have no reason to hurry. It's details re-keyed between systems, and enquiries that add days each time they change hands.

Meanwhile the work arrives faster than the people to do it. Volumes are rising and the specialist workforce isn't growing to match. Every week a matter drags is another week for the chain to break, and an abortive file costs the firm everything it spent getting that far.

An agent can't make a council return a search faster. It can make sure the delay never starts on your side. Files open the day of instruction. Searches get ordered and chased without anyone having to remember.

Conveyancing is document-heavy, deadline-bound, and governed by clear rules. That makes it one of the strongest fits for a well-built agent anywhere in legal practice. The route to do this properly exists. The choice is who you build it with.


What We Build

Where an agent fits in a conveyancing firm.

Most of what slows a matter down is process, not law. Structured documents, defined checks, repeatable steps. That is exactly the work an agent is built for, while the judgement calls stay with your conveyancers. These are illustrations of what an agent could do for a conveyancing firm.

Title review and reporting

This could look like an agent that takes a title register and plan through to a first-draft report on title.

  • Register and plan read, lease terms pulled out
  • Restrictions, covenants, and easements checked against your list
  • Anything that looks like a defect marked for the conveyancer to assess

The Output

A draft report on title with every flag traceable to the source entry, ready for the conveyancer to exercise the judgement only they can.

Searches and enquiries

We might build this as an agent that runs the search and enquiry cycle from ordering through to a summarised position on the file.

  • Searches ordered on instruction, then chased on a schedule
  • Results summarised against your risk checklist
  • Supplemental enquiries drafted for approval
  • Incoming enquiries triaged with suggested responses drawn from the file

The Output

A search and enquiry position your fee earner reviews rather than assembles, with nothing sent until it's approved.

Client onboarding, ID and AML

An agent at this stage could run a new client from instruction through to a CDD file ready for sign-off.

  • Digital ID verified, source-of-funds documents collected and checked
  • Sanctions and PEP screening run
  • Risk scored against your firm's matrix
  • Higher-risk files escalated to a fee earner automatically

The Output

A completed CDD file ready for compliance sign-off, in the part of legal practice regulators treat as the highest money-laundering risk.

Post-completion

Or an agent that carries a completed matter through to registration.

  • The SDLT return prepared for review before submission
  • The Land Registry application assembled with supporting documents attached
  • Requisitions monitored and responses drafted for approval
  • The file closed down against your checklist

The Output

A post-completion file that doesn't sit in the drawer, with every deadline tracked and every submission signed off by your team.

Every agent is built around your firm, not from a template.

The exact steps, outputs, and supervision points are designed around your firm's specific process during a Discovery session. Other directions worth scoping: quote and instruction intake, contract pack assembly, TA6 and TA7 data extraction, exchange-readiness checks, and completion-day coordination.


Design, Build, Run

We design the agent. We build it. We run it.

Handing over a tool and walking away is the industry norm. We took the opposite position. An agent that works on one file has to keep working on the hundredth, so we stay on it after go-live: monitoring, retraining, and holding output quality where you signed it off.

(STAGE 01)

Design

A free 30-minute Agent Discovery session. We map the process, identify the right agent type, and scope the build. You leave with an honest answer on whether an agent fits the use case.

(STAGE 02)

Build

A senior engineering team builds the agent inside an isolated Azure tenancy. No juniors. Prompt structure, evaluation criteria, and output format are engineered before go-live, because at completion volume a one-percent shift in accuracy is real money. We evaluate against your standards. You sign off the spec before it runs.

(STAGE 03)

Run

The agent goes live, and we keep it that way. We monitor performance, retrain as your process changes, and maintain output quality. Any drift is on us, not your COLP. You stay out of the AI operations business.

Payoff

Output quality is engineered before go-live, and maintained after it.

Commercial Model

You only pay when the agent delivers.

We engineered the contract to match the work. No big upfront build fee with vague success criteria. No seats. No platform licence. The deal is simple, and it's the proof that we have skin in the game.

A single refundable commitment fee at the start, against the design and build. It prepays the work, it doesn't deposit on it. If the agent doesn't deliver to the agreed spec, the fee comes back.

Once the agent is live, you're billed per workflow it completes. The unit price reflects the complexity of the work, agreed in writing before go-live. If an output doesn't meet the standard you signed off, you don't pay for it. That includes the version where the agent had a bad day.

The term is 36 months, billed monthly. The long view reflects how this work actually runs. Caps are available. The contract is the proof.

Specific figures live on the pricing page. Unit pricing for conveyancing workflows is scoped per agent at Discovery.


Governance-Led, By Design

Designed to be ready for the regulators that already cover you.

The ground has moved fast this year. The SRA published a Misuse of AI warning notice in August 2026. The Law Society issued conveyancing-specific AI guidance in April, and is consulting on the first Conveyancing Protocol update since 2019 with AI-generated enquiries in scope.

42 reports of potential AI misuse reached the SRA in the year to July 2026. Investigations are ongoing. [3]

The standards already apply. What changes is whether your agents are built with them in mind, or retrofitted under pressure. Ours are built to be ready, on infrastructure your COLP can defend. Every regulator listed here already holds your firm to account. Introducing an agent doesn't change who's answerable, or to whom.

The SRA's reported concerns fall into three areas: confidentiality, how work is evidenced, and supervision. We design for all three before an agent runs.

Confidentiality and privilege. Agents run inside an isolated Azure tenancy. Client content does not train external models. No consumer AI tools touch privileged material. The Upper Tribunal confirmed in 2026 that uploading documents to public AI tools waives legal professional privilege. [4] We assume that ruling is permanent and build accordingly.

Audit trail and accountability. Every input and output is logged. Every agent decision is reconstructable. If a client, a CQS assessor, your PII broker, or a regulator asks how an output was produced, you can show them.

Human oversight at judgement points. Articles 22A to 22D of the UK GDPR, in force since February 2026, set the rules for decisions taken about people by automated means, including the right to human intervention. Title defect assessment, exchange authority, and the release of completion funds stay with your conveyancers, every time. Sign-off points are designed into the workflow, not bolted on afterwards.

  • SRA · Solicitors Regulation Authority
  • CLC · Council for Licensed Conveyancers
  • Law Society · Conveyancing Protocol and CQS
  • ICO · Information Commissioner's Office
  • HMLR · HM Land Registry
  • LSB · Legal Services Board

Scoping Questions

Questions most likely to come up in scoping.

Conveyancing is a reserved legal activity. Can an agent do it?

No, and we don't build agents that try. Reserved activities and the judgement behind them stay with your authorised conveyancers. Agents handle the document-heavy work behind the work: extraction, checking, drafting for approval, chasing, and assembly. The SRA treats AI as a tool the firm is accountable for, and we design agents so that accountability stays clearly with you, with the audit trail to evidence it.

Can an agent exchange, complete, or release funds?

No. We design that out deliberately. Exchange authority, completion, and the movement of money are judgement and authority points that stay with a named person at your firm. An agent can have everything ready for that moment. It doesn't get to make it.

What happens to privilege if the agent processes confidential material?

Agents run inside an isolated Azure tenancy that you control. Content does not leave that environment and does not train external models. Cases like the 2026 Upper Tribunal ruling on public AI tools and privilege are why we build AI infrastructure this way. [4]

Will our PII insurer have a view?

They will, and they should. Insurers want to see human supervision, documented oversight, and audit trails. Our agents are designed with those evidence points built in. We're happy to provide what your broker asks for at renewal.

What about hallucination rates in legal AI?

One study found that purpose-built legal AI tools hallucinate between 17 and 33 percent of the time on legal research queries. [5] That is exactly why we don't ship agents on the strength of demos. Every agent is evaluated against your standards before go-live and monitored against them after. Where hallucination risk is structural to a use case, we'll tell you in the first thirty minutes.

How long until an agent is live?

The Discovery session is around thirty minutes. From there, a typical build sits in a four-to-eight-week window, depending on integrations and complexity. Live in production means run by us, not handed to your team.

Do we need a technical team on our side?

No. Implementation, integration with your case management system, ongoing operations, monitoring, and any retraining sit with us. Your team needs to be available for sign-off on specs and outputs.

What if the agent doesn't deliver?

The commitment fee is refundable if we don't deliver to the agreed spec. Failed outputs aren't billed. That's not marketing copy. It's in the contract.

Managed AI Agents For Governance-Led Firms

The workhorse
of your business.

We design it. We build it. We run it.
You only pay when it delivers.