Precedent and knowledge assistants
Search and drafting support grounded in the firm's own precedent library and prior work, with citations to the source document and permission-aware retrieval by matter and team.
Industry
Document-heavy, expertise-led work where time recovery and consistency of output determine margin.
Context
In legal, accounting, engineering consultancy and similar practices, the constraint is qualified people's time. A large share of it goes on drafting from precedent, reviewing documents for specific clauses or figures, assembling client reporting, and administering matters rather than advising on them.
This is the work AI is genuinely good at supporting — with the important caveat that professional judgement and privilege cannot be delegated. Every design decision we make here keeps the practitioner accountable for the output while removing the mechanical effort of producing a first version.
Where we would start
Ordered by how quickly the result can be verified. Where output is easy to check, automation carries less risk.
Search and drafting support grounded in the firm's own precedent library and prior work, with citations to the source document and permission-aware retrieval by matter and team.
Extracting defined terms, dates, obligations and figures from contracts and reports into a reviewable structure, flagging anything ambiguous for a practitioner instead of resolving it silently.
Assembling recurring client reports from matter and financial data, leaving the practitioner to review and add judgement rather than compile.
Structured intake with conflict and completeness checks at the front door, so matters open cleanly and administration does not accumulate.
Agents that gather and summarise source material with citations, presenting an evidence base for a professional to evaluate rather than a conclusion to adopt.
Governance
These are the requirements that decide the architecture in this sector. Retrofitting any of them means rebuilding, so they are settled during design.
Related
AI agents, assistants and automated workflows that carry out real work inside your systems, with human approval at the points that matter.
Secure, maintainable web and mobile applications — new builds, AI-enabled products, and the modernisation of systems that have become risky to change.
Security engineering, assurance and compliance support — including the controls specific to AI systems.
Advisory, managed IT and application support — the long-term accountability that keeps a delivered system healthy.
An assistant that answers staff questions from your approved documents, cites its sources, and declines when the corpus does not cover the question.
Read the full write-upIllustrative solution patternStructured data extracted from inbound documents, with confidence surfaced and a person confirming before anything is committed.
Read the full write-upIllustrative solution patternA single operational view built on agreed metric definitions, with visible freshness and drill-through to source records.
Read the full write-upTell us which of these pressures you recognise and which you would put first. We will come back with an honest view of whether we are the right people for it.
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