AI in Legal services
Faster first drafts. Sharper advice.
Law firms are uniquely well-placed to benefit from AI - precedent-rich, document-heavy, and full of work that's important but largely formulaic. The firms moving early are using AI to compress drafting time and reinvest the hours into higher-value advisory work.
Why modernise now
- Clients are pushing back on hourly billing for routine work.
- Trainees and associates are scarce; the work hasn't shrunk to match.
- In-house teams are already using AI - external counsel needs to keep pace.
Where AI can help
Legal services use cases
Anonymised, hypothetical examples of what AI could do in this sector.
Drafting first-pass contracts in a fraction of the time
A regional law firm could build an internal AI drafting assistant trained on its precedent bank to speed up first-pass commercial contracts.
AI-assisted due diligence document review
A corporate team could use AI to triage data-room documents, extract key terms, and produce a first-draft DD report.
Faster client intake and conflict checks
A firm could use AI to extract intake details from emails and forms, and pre-run conflict checks before the matter opens.
Summarising litigation bundles for counsel
A disputes team could use AI to produce structured summaries of large litigation bundles, with citations back to the source.
An AI search assistant for the firm's know-how
A firm could build an internal AI assistant that answers technical questions using only its own precedents, articles, and training notes.
How to think about AI in legal services
The use cases above are deliberately specific - real shapes of work, not generic promises. The pattern that runs through almost all of them is the same: AI absorbs the repetitive, document-heavy, or first-draft work, and a human keeps the final decision. That's the combination that tends to land well in UK SMBs, regardless of sector.
If you're trying to pick where to start, the right answer is rarely the most exciting use case. It's the one with the clearest baseline, the most willing owner, and the smallest blast radius if it doesn't work. Save the ambitious projects for pilot two or three, when you've built the muscle of finishing what you start.
Common starting points
Across the legal services businesses we speak to, the most common first pilots are the unglamorous ones - meeting notes, document summaries, drafting routine correspondence, triaging an inbox. They're not the use cases that make the keynote slides, but they're the ones that quietly compound week after week and build the confidence to try something bigger.
The mistake we see most often is jumping straight to a customer-facing AI before the internal one is working. Internal pilots are forgiving; customer-facing ones aren't. Get good at the former before you risk the latter.
What 'good' looks like at six months
A legal services business that's six months into a sensible AI rollout usually has two or three workflows running in production with measurable improvements, a one-page policy the team has actually read, a small group of confident internal champions, and a backlog of next pilots scoped well enough to start. None of that requires a big bang. It requires a small group of people doing the next sensible thing, on a regular cadence, for two quarters in a row.
Not sure if this is the right use case for you?
Take our 3-minute AI Opportunities assessment and get a tailored shortlist of the highest-impact use cases for your legal services business - based on how you actually work today.