The safest, most practical uses of AI for law firms in the UK are the ones where a solicitor still checks every output: sorting new enquiries, reviewing documents, searching your own precedents and drafting first versions. AI should speed up the preparation. It should not give advice, sign anything off or decide what goes before a court.
At a glance: AI can take the slow first pass off intake, review, research and drafting. The SRA is clear that you stay accountable for the work whatever tool produced it, and its main worries are made-up citations and client data being put into unsuitable tools. Start with one low-risk task, use a tool with proper contractual and technical safeguards, and keep a named solicitor responsible for every output.
Four practical uses that fit most practices
Intake triage. An AI assistant can read web forms and emails from new enquiries, work out the area of law, pull out the key facts and flag urgent deadlines. A fee earner then decides whether to take the matter. The AI sorts and summarises. It does not tell the enquirer whether they have a case.
Document review. AI can read a bundle of leases, contracts or disclosure documents and list the clauses you care about, such as break dates, change of control terms or unusual indemnities. Each item should point back to the page it came from, so a trainee or associate can check it quickly.
Precedent and knowledge search. Most firms have years of good work locked in shared drives. An AI search tool can find the relevant clause, template or past advice note from your own documents when someone asks a question in plain words. This is often called retrieval-augmented generation (RAG): the system looks up your documents first, then writes an answer from what it found.
First drafts. AI can produce a first version of a client letter, an attendance note from a call summary or a standard contract from your own templates. A solicitor edits and approves it. Treat it like work from a capable but new junior: useful, fast and never sent unchecked.
Where AI must not replace solicitor judgement
Some tasks need a qualified person every time, whatever the tool can do.
- Legal advice to a client. The advice, and the judgement behind it, must come from someone accountable for it.
- Anything filed with a court or tribunal. Every case and citation must be checked against a trusted source. General AI tools can invent cases that look real, known as "hallucinations".
- Deciding whether to act. Conflict checks, risk assessments and client due diligence need human sign-off.
- Negotiation positions and settlement decisions. These depend on the client's goals and appetite for risk, which a tool cannot weigh.
What the SRA and the Law Society expect
In August 2026 the SRA published a warning notice on the misuse of AI. It says firms are free to use AI tools as long as they meet the SRA's standards, and it names two main concerns: false information, including citations, in court and other documents, and client confidential information being put into AI tools without proper safeguards.
The notice is plain that AI does not reduce or transfer your professional responsibilities. You remain accountable for the work, supervisors remain accountable for the people they supervise, and firms must have governance, systems and controls to manage the risks. It also says client information should only go into AI systems where appropriate contractual, technical and organisational safeguards are in place.
The Law Society's guide, "Generative AI: the essentials", is written with small and medium-sized firms in mind. It makes the same core point: using a generative AI tool does not remove your legal responsibility or liability if the output is wrong. The SRA's earlier Risk Outlook report on AI in the legal market is useful background on the opportunities and risks.
Confidentiality, client consent and UK GDPR
Confidentiality is the first test for any tool. The SRA warns that, depending on a provider's terms and settings, information entered into an AI system may be stored, kept or used to improve the tool. Its notice says firms should make sure client data stays in a secure environment, is not used to train AI models unless that is explicitly authorised and appropriate, and is not kept longer than necessary.
Check your engagement terms too. Some clients, especially corporate and institutional ones, set their own rules on AI use in their matters. If a use is new or sensitive, telling the client and recording their agreement is the cautious route.
Under UK GDPR (the UK General Data Protection Regulation), client files usually contain personal data, sometimes special category data such as health details. The ICO's guidance on AI and data protection covers accountability, transparency and data protection impact assessments (DPIAs), which are structured reviews of the risks before you start. This is general information, not legal advice.
A simple checklist before you switch anything on
| Question | What a good answer looks like |
|---|---|
| Where does client data go? | A named provider and region, with a written contract and no training on your data |
| Who checks the output? | A named fee earner, with supervision rules written down |
| Can every answer be traced? | Each point links to the source document or page |
| Is there a DPIA? | Completed and reviewed before live client data is used |
| Do staff know the rules? | A short AI policy covering approved tools and banned uses |
| Do clients need to know? | Engagement terms checked, and client agreement recorded where needed |
For a similar approach in another regulated profession, see this guide to AI for accountants in the UK.
A realistic example
Picture a small commercial property practice in the Midlands. Its partners spend hours at the start of each lease matter pulling rent review dates, break clauses and repair obligations into a report. They set up an internal tool that reads the lease, fills in the report template and links each entry to the clause it came from.
An associate checks every entry against the lease before the report goes to the client. The firm runs it on past matters first, compares the results with the reports its lawyers wrote, and only then uses it on live work. The tool runs in a secure environment under a contract that stops client documents being used for training.
If your needs are simple, an off-the-shelf legal AI product may be enough. Try one before paying for anything custom.
How Rinaztec can help
We build custom AI agents that read documents and answer from your own files, with every answer linked back to its source, guardrails and human hand-off rules, and evaluation tests to measure accuracy before launch. See our AI agent development service: projects start from $6,000 and typically go live in 3 to 5 weeks.
Want to know which AI use fits your practice? Book a free 30-minute call and we'll tell you honestly what it would take.