What we implement
From first enquiry to final bill.
Ten practical ways to put AI to work in a UK law firm. Each one works from your firm’s own documents, runs on a tool vetted for client data, and has a named person checking every output before it is used.
Ten uses
Where AI fits in your firm.
Grouped by who uses them. For each one, we set out what it works from and who checks the result.
| Use | What it does | Works from | Checked by |
|---|---|---|---|
| Front office2 | |||
| Enquiry triage | Reads web and email enquiries, pulls out the key facts and any urgent dates, and routes each one to the right team. | Enquiry forms and emails | The intake team |
| Client onboarding | Pre-fills identity and source-of-funds checks from uploaded documents and flags gaps for compliance. | Client ID, bank statements and your AML policy | The fee earner, then the MLRO where needed |
| Fee earner work5 | |||
| Chronologies and issue maps | Builds a timeline or issues table from the file, with a source reference for every entry. | Correspondence, statements of case and evidence | The fee earner |
| Court order diary entries | Extracts every direction from an order and calculates the deadlines, showing the working. | The sealed order and the CPR time rules | A second person, before anything is diarised |
| Medical records review | Summarises GP and hospital records and flags anything that conflicts with the expert’s report. | Medical records and the expert’s report | The fee earner |
| Contract and lease review | Compares a draft with the agreed heads of terms or your playbook and rates each deviation. | The draft, the agreed terms and your playbook | The supervising solicitor |
| Client updates | Drafts plain-English update letters from the file. | The file and your letter templates | The fee earner, before it is sent |
| Across the firm3 | |||
| Know-how assistant | Answers staff questions from your own precedents and policies, citing the document it relied on. | Your approved precedents, policies and know-how notes | The person asking, against the cited document |
| Meeting notes | Turns recorded calls and meetings into attendance notes and action lists. | Recordings made with everyone’s consent | Whoever ran the meeting |
| Time recording | Drafts time entries from emails and calendars. | Email and calendar activity | The fee earner, before submitting |
How a project runs
Start small, then build.
We start with one use and one team, then build from what works.
Map
We look at where your teams’ time goes and which tasks are safe to hand to AI.
Choose
We recommend a tool and vet its terms on confidentiality, data location and use of your inputs for training.
Build and pilot
We set the use up around your documents and review steps, then test it with one team.
Train and roll out
We train your people to use it and check its output, and help your team apply the review steps consistently.
Next step
Find your first project.
Tell us where your teams lose the most time. We’ll suggest the use to start with, the safeguards it needs and what it would take to set up.