AI for law firms and legal teams.
Custom AI that reads leases and disclosure and cites every field to its source line.
What AI can do in legal work.
AI handles the reading that comes before the advice: pulling the dates, sums and break clauses out of a lease, sorting a disclosure set into what matters and what does not, drafting a routine engagement letter from your own precedents, and finding the clause buried somewhere in the matter file.
Where firms like yours start.
It reads the lease end to end and reports each field cited to its source line.
It classifies the disclosure set and surfaces the documents that matter, with the reason attached to each.
It assembles the client file, checks it against your risk policy and drafts the engagement letter.
It finds the clause buried in a matter file and shows the page it sits on.
It is built against your own precedents and scoped to the document system your firm runs.
Less of the week spent reading, and an answer the fee-earner can trace back to the page. It also cuts the subscriptions the firm no longer needs.
The audit works out yours.
How we find where AI fits in your practice.
An AI Audit and Transformation finds where AI fits a practice. It is fixed in scope and fee, runs inside the firm with the people doing the reading, and ends in a costed, prioritised 12 month roadmap naming who owns each workflow. OpenKit becomes your business’s embedded AI team: the people who ran your audit stay on to deliver it. If a few agreements a month is the whole document load, we will say so.
The build is part of the same engagement, and what goes live is measured against the fee-earner hours the audit counted.
How we engage.
Most engagements start with the AI Audit and Transformation. What follows depends on what it surfaces: many teams keep us on as their Embedded AI Lead, and some commission a bespoke build where nothing off the shelf will fit. The AI Charter runs underneath whichever way it goes.
- AI Audit and Transformation Fixed in fee and scope: we measure where the week actually goes and hand back a costed, prioritised 12 month roadmap, yours to keep.
- Embedded AI Lead We stay inside your team and build the plan into the day’s work, while your fee-earner still signs the advice.
- AI Charter It records what AI is used for in the firm, and who signs off each workflow it touches.
Legal work we have delivered.
Both are live services in commercial lease work, and both show their working so a fee-earner can check every answer.
BAiSICS Cutting the first read from two hours to ten minutes Custom OCR and a bespoke pipeline extracting at 96% accuracy, every field verifiable against the page it came from. £200K+ Saved per year 
Pubs Advisory Service Answering a fifty-page lease in the inbox advisors already use Each answer comes back anchored to the paragraph it came from, so the advisor can check it against the lease without opening the lease. 13 clauses Extracted with the lease wording attached BAiSICS was benchmarked against historic leases that senior partners had already marked up, and 96% of its extracted fields matched the partner’s read where GPT-4 and the leading legal-AI products missed the firms’ own accuracy bar. It runs inside an AWS UK region. How firms adopt AI under SRA duties
“Our system analyses large, complex and poor quality documents with remarkable accuracy, surpassing solutions like GPT-4 and other AI legal tools. The transparency is fantastic … you can instantly verify every AI output against source documents, which builds trust with our users.”
Secure and private, as standard.
Privilege is handled before any model touches a file, and your client files never train someone else’s system. Private AI
ISO 27001, ISO 9001 and Cyber Essentials are certifications we hold, and we operate to UK GDPR. OpenKit is not a law firm and is not SRA-regulated: your firm owns the advice and the file.
The questions that decide it.
What does an AI consultancy for UK law firms actually do?
OpenKit runs a fixed-scope, fixed-fee audit of the firm’s workflows, document management system, precedent library and SRA-facing supervision model as the opening stage of an AI Audit and Transformation, then builds the tools the audit recommends against the firm’s own data, integrates them with the existing stack (iManage, NetDocuments, LEAP, Clio, Actionstep, HighQ, SharePoint, Microsoft 365) and trains the team to work under the Law Society’s verify, disclose, record rule. We either hand over or stay on as an Embedded AI Lead.
Will AI replace solicitors?
No. The SRA regulates outcomes and the firm stays accountable for every AI-generated output the way it is accountable for a junior’s work. The Law Society guidance is explicit: solicitors must independently verify AI outputs, disclose use where material to client advice, and keep records of AI interactions. Our systems are built for that supervision model, with citation back to the source on every extracted field.
How does this work with the SRA Code of Conduct and the Law Society’s generative AI guidance?
The SRA’s outcomes-based regime means the firm owns the supervision question, and the Law Society’s “Generative AI: the essentials” sets the three-part rule. Delivery is shaped around that floor: every pipeline produces an audit trail tied to source documents, low-confidence outputs are held for human review rather than silently committed, and the COLP gets a governance pack the indemnity insurer can read.
What about professional indemnity insurance if AI gets something wrong?
PII coverage continues to sit on the solicitor, not the model. The Law Society guidance is clear that reliance on AI does not exempt a solicitor from liability. We design for that reality by surfacing model confidence, citing every output to the source paragraph, holding low-confidence items for human review, and producing the audit trail an insurer can inspect at renewal.
Can we keep client data inside our own tenant or on-premises?
Yes. Privileged communications and matter data stay inside the firm’s environment by default. We deploy against Claude on UK/EU regions, OpenAI on Azure UK/EU, or open-weights models running on private GPU or on-premises, depending on what the firm’s indemnity insurer and client procurement contracts require. The BAiSICS platform runs entirely inside an AWS UK region.
Does this integrate with iManage, NetDocuments, LEAP, Clio, Actionstep, HighQ and Microsoft 365?
Yes: those are the DMS and practice-management systems the builds sit against. LEAP and Microsoft 365 are evidenced in delivered work; iManage, NetDocuments, Clio, Actionstep and HighQ are integration targets scoped into each engagement. The audit names which integration is in scope before any build commits.
How does this compare to Harvey, Spellbook, Robin AI or Luminance?
Harvey and Luminance sit at the enterprise tier: seat pricing above $1,000 per fee-earner per month and a generic large-firm-trained model. Spellbook is a productised contract-drafting tool at roughly $99-$199 per seat per month. Robin AI is closer to a hybrid of product plus managed review. OpenKit is a different shape: bespoke against your precedents, your DMS and your matter taxonomy, a fixed-fee audit before any build, and no per-seat lock-in.
What does a legal AI engagement cost, and how is it structured?
Every engagement opens with the audit stage of an AI Audit and Transformation, which is fixed scope, fixed fee and scoped up front, so there are no surprises on the invoice and no retainer required to reach it. What follows is priced against what the audit surfaces: the transformation build, an Embedded AI Lead on retainer, or a Bespoke Build. We give you indicative figures on a discovery call.
Have you delivered AI work for UK law firms and legaltech businesses?
Yes. BAiSICS is the named example: a custom OCR plus bespoke LLM pipeline that took commercial-lease review from around two hours a document to roughly ten minutes at 96% extraction accuracy against partner-graded benchmarks, beating GPT-4 and the leading legal-AI products in the same test, and saving over £200K a year. Pubs Advisory Service is a second: fifty-page commercial pub leases turned into citation-anchored answers delivered in the inbox advisors already work from.
What makes OpenKit different from a Big Four AI consultancy?
The Big Four sell strategy and hand implementation to a different team. We do both with the same people. The audit names the rollout, the transformation build works against it, and an Embedded AI Lead carries delivery and the SRA-facing governance work afterwards. We do not stack a strategy invoice on top of a build invoice.
Find your first workflow.
We start with a conversation, audit where AI actually pays back, and build the first automation into how your team already works. We reply within one working day.