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Sector · Legal services
Legal AI in the UK can take on intake, review and drafting volume. We build AI for law firms so a solicitor verifies everything that reaches a client or a court.
In focus →
Where the line sits
Law firms of every size now have access to AI that can summarise, search and draft.
The SRA notes that dedicated legal AI, once only within reach of the largest firms, is now available to smaller practices.
The risks are specific to legal work: privilege, confidentiality and invented citations.
We design AI for law firms so the machine does the reading and the first draft, and a named lawyer owns the result.

What AI handles in the firm
What a solicitor keeps
Where it helps
The SRA’s Risk Outlook on AI describes uses from compliance checks and triage to document search and text generation.
For most firms, the early wins are intake, document review and drafting from precedent.
AI can sort enquiries by practice area and urgency, then pass each to the right team with a summary.
It can read a data room or disclosure set and produce a first-pass summary with page references.
It can draft routine letters and agreements from your own precedent bank rather than the open internet.
Each output lands with a fee earner as a draft, never as a finished product.
Illustrative batch with a typical confidence spread. Your real split comes from a pilot on your own work. Some decisions go to a person whatever the score.
The risks
Generative AI can produce plausible text that is simply wrong.
The latest judicial guidance on AI expands its warnings about hallucinations that generate incorrect or misleading information.
The Law Society’s generative AI guidance says citations in pleadings and other documents must be verified against reliable sources.
Confidentiality is the other hard line.
The Upper Tribunal has said that uploading confidential documents into a public AI tool breaches client confidentiality and waives legal privilege.
So client data stays inside tools with the right contractual and security terms, and a solicitor decides what goes in.
Our AI policy template helps you write those rules down.
Human in the loop
The SRA is clear that solicitors remain accountable to clients for the service, whether or not AI is used.
It compares overseeing AI to supervising a more junior employee.
We build that supervision into AI for law firms from the start, rather than leaving it to good intentions.
Every client-facing or court-facing output needs a named reviewer before it can be sent or filed.
Citations are checked against an authoritative source, with the check recorded on the file.
Anything touching advice, prospects, AML red flags or conflicts escalates to a solicitor straight away.
Your team also needs the skills to review well, which is what our AI governance training covers.
The SRA is clear that solicitors remain accountable to clients for the service, whether or not AI is used.
How we help
Our AI for law firms work begins with one practice area and one or two workflows, usually intake or first-pass document review.
Each workflow gets a named supervising solicitor, a clear escalation route and a record of every approval.
We test accuracy on closed matters before the AI touches a live file.
Then we train fee earners and supervisors to review AI output critically, not to trust it by default.
Once the first workflow is working well, it becomes the template for the next.
Our AI for law firms work begins with one practice area and one or two workflows, usually intake or first-pass document review.
How it works
Each system ships with a named person accountable for what it does.
Step 1
We identify practice areas and tasks where volume is high and judgement is low, such as intake or first-pass review.
Step 2
We agree data boundaries, privilege rules, named reviewers and what always escalates to a solicitor.
Step 3
We connect the AI to your own templates and know-how, then test its accuracy on closed matters.
Step 4
Fee earners learn to verify AI output, and supervisors get a clear record of who approved what.
Questions
Further reading
Keep reading
Next step
A 30-minute call. We map one workflow, what the AI could take, and where a person must stay in the loop.