Legal Tech & Automation
Increase billable hours by automating the heavy lifting. We build highly secure case management software and AI-powered document discovery tools.
Legal work is document-bound, and most of the billable-hour leakage in a firm happens in the search: locating the right precedent, finding the clause that was negotiated last time, or reviewing a contract set for a specific exposure. That work is genuinely skilled, but a large share of it is retrieval rather than judgement.
Impact
Associates spend hours on retrieval that clients increasingly refuse to pay for, while fixed-fee and capped arrangements push that cost onto the firm. Institutional knowledge stays locked in individual matter files, so the firm re-solves problems it has already solved.
We build private document intelligence systems over a firm's own matter files and precedent bank — semantic search across historic work, clause extraction and comparison, and review tooling that surfaces relevant passages with citations back to the source document.
Technical Approach
Documents are processed into a private vector index, with retrieval-augmented generation used so every answer cites the specific source passage rather than generating unsupported text. Deployment is within a private tenancy — commonly Azure OpenAI with data-processing guarantees — and integrates with the practice management and document systems the firm already uses.
An associate searches the document management system by filename and keyword, opens a dozen candidate files, and reads through them to find the relevant precedent or clause.
The associate asks in natural language, receives the relevant passages with citations to source documents, and verifies against the original rather than starting the search from scratch.
Strict adherence to global data privacy laws. We never train public AI models on your proprietary data.
Architecture designed to meet rigorous healthcare and enterprise security compliance standards natively.
Scalable cloud-native deployments via AWS and Vercel Edge networks ensuring 99.99% uptime.
Everything you need to know about our Legal Tech & Automation process.
Yes, we frequently build custom middleware that syncs data securely between your existing practice management software (like Clio) and your new custom AI tools.
Systems are deployed in a private, single-tenant environment with no data leaving your control and no client material used for model training. Access controls mirror your existing matter-level permissions, so the system cannot surface documents a given user could not already open. For firms with ethical-wall requirements, those boundaries are enforced at the retrieval layer, not merely in the interface.
It should not be asked to. These systems are built for retrieval and summarisation with citations, not for legal conclusions. Every output points to the source passage so a qualified lawyer verifies against the original document. We deliberately design against confident unsourced answers, because in legal work a plausible fabrication is considerably worse than no answer.
Yes. Integration with the practice management and DMS platforms you already use is the norm — Clio, SharePoint, and comparable systems all expose suitable interfaces. The system indexes what is already there rather than requiring a migration into a new repository.
Contracts, correspondence, pleadings, and scanned material. Scanned and image-based documents require OCR first, and quality varies with the source — a clean PDF processes considerably more reliably than a faxed photocopy. We assess a representative sample of your actual document set during discovery rather than assuming.
Typically six to ten weeks, with the earlier phase spent on document processing, access-control mapping, and retrieval quality rather than interface work. Retrieval accuracy over a firm's specific corpus is where the real engineering effort sits. VERIFY: confirm against your delivery history.
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