AI for Professional
Services Firms
Professional firms need to reduce unbilled work without weakening judgement, confidentiality or review. We build AI into defined workflows with source evidence, matter or client permissions and a named professional owner.
190 hrs
PER FEE-EARNER, PER YEAR (THOMSON REUTERS)
21.5%
OF BILLABLE HOURS GO UNRECORDED (TRIBES.AI)
9 Mar 2026
RICS AI RULES TURN MANDATORY
AI needs to fit your professional duties
A consumer chatbot in a browser tab is what 61% of UK organisations already let staff do, per the CIPD's Autumn 2025 Labour Market Outlook. It's also what got a barrister and two solicitors referred to their regulators in Ayinde v Haringey last year.
The other option used to be Harvey or CoCounsel. Two thousand dollars a seat, twenty-five-seat minimum, a sales call before you see the product. Fine for a Magic Circle firm. Not for a fifteen-partner practice in Leeds.
We build private workflows around the work and controls of your practice.
WHAT MOST FIRMS HAVE
- A ChatGPT tab on each partner's laptop
- Client data going into tools nobody signed an agreement with
- No audit trail, no log, no policy
- Knowledge still trapped in three partners' heads
- A Harvey quote that priced you out
WHAT YOU NEED
- Workflows wired into your matter system, not bookmarks
- Models that don't train on your client data, contractually
- Every output sourced, logged, reviewable
- Your firm's precedents and house style included
- Commercial scope agreed before systems are connected
Professional-services work worth automating
The system names differ between law firms, accountancy practices, consultancies, surveyors and recruiters. These are usually the most practical places to start.
Intake and conflicts
New enquiry to engagement letter, with conflicts and KYC checks done first, scoping language drafted, and the matter opened in the practice system. Days of partner time, gone.
First-pass drafting
Advice notes, engagement letters, contracts, reports, valuations. Built off your precedents, in your house style, sourced to the underlying documents. A senior reviews, not writes.
Document review
Disclosure, due diligence, lease bundles, year-end packs, tender responses. A junior used to spend a week. The workflow does it overnight, with every flag traceable back to the page it came from.
Time capture and WIP
A workflow that reads emails, calendar entries and document edits, drafts the timesheet, and asks one question instead of forty. Tribes.ai puts the leakage at 21.5%. This is where it lives.
The firm's brain
The knowledge in your three senior partners' heads, captured as searchable, citable memory. Succession is the part nobody plans for until it's too late. The brain stays even when they don't.
How we start
We start with one professional workflow, representative client work and a defined review standard. The evidence from that phase determines whether a wider programme is justified.
Our relevant work covers recruitment, business-finance compliance, financial advice and human-reviewed assessment. Each practice still needs its own professional rules, data boundary and review owner.
BOOK A PRACTICE AUDITPractice audit
We work with partners, senior staff, operations and technology to map the work and its professional controls. Candidate workflows are ranked by value, readiness and the consequence of a wrong output.
Capture the firm's knowledge
Precedents, advice files, model letters, internal manuals, the bits in partners' heads. Pulled into a private knowledge layer your workflows can read. Hosted on infrastructure you can point your regulator at.
Launch the first workflow
Sensors, model, tools, audit log, human review gate. Live, wired into the systems you already use. Your team starts using it straight away. You see what AI can do inside a real practice.
Add the rest, sensibly
Next workflow, then the one after. Each one comes with the regulatory paperwork it needs: risk register, client notice where appropriate, supervision policy and model card. We reuse the common parts rather than starting again.
Professional duties still apply to AI work
Three things that landed in the last twelve months. If your firm sits under any of these regulators, the policy work isn't optional any more.
Ayinde v Haringey.
Divisional Court referred a barrister to the BSB and two solicitors to the SRA after generative-AI-fabricated case citations reached the bench. Verifying every AI output is now an express professional duty, and the Doughty Street tracker has been logging fresh UK incidents at pace ever since.
AI in surveying, mandatory.
"Responsible use of artificial intelligence in surveying practice" turns from guidance into a regulated requirement on 9 March 2026. Every regulated firm needs an AI risk register, written client notice when AI is used on their matter, and an opt-out route.
First agentic-AI audit rules.
The FRC followed up its June 2025 paper with the first audit-regulator guidance globally on generative and agentic AI in audit. If your accountancy firm does statutory audit work, the documentation bar just moved.
Sources: SRA Risk Outlook on AI in the legal market (2024, refreshed 2025); Bar Council Generative AI Guidance for the Bar (updated November 2025); RICS Responsible Use of AI in Surveying Practice (September 2025); FRC AI in Audit guidance (June 2025) and Generative & Agentic AI in Audit guidance (March 2026); Thomson Reuters Future of Professionals Report 2025; ICAEW Evolution of Mid-Tier Accountancy Firms 2026; MCA Member Survey 2025; CIPD Autumn 2025 Labour Market Outlook; Tribes.ai survey of UK professional services managers; AI Opportunities Action Plan (Matt Clifford, January 2025).
Our experience includes accountancy and regulated finance
Alex built AccountancyManager through to its sale to Hg-backed Bright. Crystal automates compliance audits for business finance, while RiskMapped is being developed around the protection-analysis work of financial advisers.
When this is worth discussing
We work best when there is a real operating problem, enough volume to measure and people from the affected teams who can make decisions.
Usually a good fit
- An established UK business, usually with annual revenue above £10m
- A repeated process with a known cost, delay, error rate or capacity problem
- A senior sponsor and a day-to-day owner who understand the work
- Access to the relevant staff, systems, sample records and security requirements
We may point you elsewhere
- A standard product already covers the process well
- The requirement is a one-off small build with no wider operating case
- There is no owner or access to the people and data needed to test the result
- The plan relies on AI making high-impact decisions with nobody responsible for review
Questions the buying team will ask
If AI does the first draft, what stops our juniors learning?
The same thing that's always stopped them: not getting feedback. A workflow that drafts and a senior who reviews properly is a better training setup than a junior who writes and a senior who's too busy to mark it up. The ICAEW 2025 research has the under-25s using AI weekly already. They're learning with it, not instead of it.
Our client data can't leave the building. How does that work?
The provider, product tier and configuration determine the data terms. We review training use, retention, subprocessors, residency, access and logging against your contracts before selecting a model or hosting option. The resulting data flow and responsibilities are documented for your privacy and security teams.
We looked at Harvey / CoCounsel. Why you instead?
An established legal AI product may be the right answer when its features, data terms and integration fit the practice. Custom work is justified where a defined workflow, precedent set or connected system creates a measurable requirement the product cannot meet. We compare those options during scoping.
If AI drafts in minutes, doesn't our hourly billing model break?
It's already breaking. Clio's 2026 UK & Ireland Legal Insights Report has fixed and flat fees at 53% of matters, hourly at 32%. AI moves the question from "how long did this take" to "what was the work worth". Our job is to help you reprice cleanly and not give the saving away in undercut quotes.
What if the AI hallucinates a case or a clause?
It can. The workflow should retrieve from approved precedents, statutes, contracts or matter documents and cite the relevant source for review. The responsible professional still checks the conclusion before it is used.
How long, and how much?
The first phase covers one defined workflow, representative client or matter data, professional review and a value baseline. We scope the systems and controls before issuing a commercial proposal.
Who owns what you build?
The commercial proposal states ownership of source code, prompts, knowledge sources and audit records, together with hosting, support and handover terms. We can work in your cloud account or operate an agreed environment.
Talk to us about your firm
Tell us which work absorbs senior time, the systems involved and the professional duty that applies. We will identify a first workflow that creates value without transferring judgement to the model.