LEGAL AI DEVELOPMENT / UNITED KINGDOM
AI that helps lawyers work faster without lowering the standard.
Legal AI development for UK law firms, in-house legal teams and legal-tech companies: contract analysis, document drafting assistants, matter summarisation and client intake tools built with confidentiality and SRA obligations in mind.
UK-registered company. International engineering team.01 / THE OPPORTUNITY
Legal AI development for UK businesses.
Legal work is documents, precedent and judgement. AI can take on the first two so that people spend more time on the third. Krapton builds legal AI products for UK firms and legal-tech companies: contract review and clause extraction, first-draft generation from precedents, matter summarisation, and client intake assistants that gather the facts before the first call.
Everything is grounded in your own precedents and knowledge, held within your systems, with citations to the source and a lawyer confirming the output. Confidentiality, legal professional privilege and SRA obligations shape the architecture rather than being added afterwards.
02 / Use cases
Contract review and extraction
Clause identification, deviation from playbooks and risk flags across large document sets.
Drafting assistants
First drafts from your precedents and matter facts, with tracked sources for supervision.
Client intake and triage
Structured fact-gathering and matter routing for enquiries, integrated with case management.
Knowledge search
Natural-language search over precedents, know-how and past matters with cited answers.
03 / Our approach
Evaluation before release, guardrails by design and people in control of the decisions that matter.
AI development overview- 01
Confidentiality architecture
Private deployment options, matter-level access control, no training on your data and a record of every query and output.
- 02
Grounded in your precedents
Retrieval over your document store rather than general knowledge, so drafts follow house style and current positions.
- 03
Lawyer-in-the-loop
Outputs presented for supervision with sources shown, so professional judgement stays where it belongs.
- 04
Pilot with a practice group
A measured pilot on one matter type, then expansion based on time saved and error rates.
04 / Before you start
The decisions that shape the build.
The SRA expects firms to supervise AI-assisted work and remain accountable for it, and privileged material must be protected. We design for supervision and access control; your firm’s compliance officers decide policy.
What every AI engagement includes
- A use case with a measurable result and representative examples
- An evaluation set rerun on every prompt, model or data change
- UK GDPR-aware data flows, with UK or EU hosting where residency matters
- Human review and defined permissions for anything consequential
- Cost and quality monitoring after launch
05 / From the portfolio
Examples from Krapton’s international portfolio. Each success story describes the work delivered for that project.
CO Law Group
CO Law Group advises digital health companies and medical device manufacturers on US healthcare regulation. Founded by Chiddy Onyia, Esq., the firm needed a web presence that signals the calibre and discretion its clients expect — anything less costs engagements.
Read the success storyFAQ
It can be, with private deployment, matter-level permissions, encryption, UK-region hosting and model endpoints that do not train on your data. We document the data flows for your risk and compliance review.
Yes. That is the point. Retrieval-augmented generation over your own precedent bank and know-how produces drafts that follow your positions, with sources shown for supervision.
Yes. iManage, NetDocuments, SharePoint and common UK case management platforms can be integrated through their APIs, subject to your licensing and IT approval.
Our tools are designed for supervised use: outputs are suggestions with sources, not final advice. Your firm remains responsible for its regulatory obligations; we make the technology support them.
With one matter type and one practice group. A short discovery identifies the workflow, the precedents and the measure of success, then a pilot proves it before wider rollout.
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YOUR NEXT STEP
Bring the task, the examples and the systems involved. We’ll tell you what an evaluation set, a prototype and a first release would look like.