01 / FEATURE
Contract review & redlining
Clause classification, deviation from the firm’s playbook, redline suggestions with citations. The associate reviews, the partner signs.
Knowledge automation.
For law firms, audit practices, advisory shops and consultancies where time is billed and accuracy is existential. Privilege-aware. Citation-grounded. Partner-owned.
The pressure
Why professional-services AI is different.
In a billed-hour business, the model is competing with the partner’s own judgement. Wrong answers don’t just cost time — they breach privilege, miss a covenant, or land the firm in a malpractice conversation. The bar isn’t ‘helpful.’ It’s ‘defensible.’
Privilege & confidentiality. Client matter walls, conflicts checks, data residency by jurisdiction — the model has to respect the same structures the firm’s partnership agreement does.
Citation, or it didn’t happen. Every claim back to a paragraph, every redline back to a clause, every figure back to a working paper. No citation, no use.
Partner ownership of output. The partner signs the advice and carries the liability. The system drafts, summarises, surfaces — it never owns the position.
Billing integrity. Realisation, write-offs, time capture — automation has to support the economics of the firm, not erode them through invisible discounts.
Where we ship
Use cases we’ve put into production.
Patterns we’ve shipped across law firms, audit practices and advisory groups in ASEAN — every one with the partner in the loop and a citation back to the source on every output.
02 / FEATURE
Due-diligence acceleration
Data-room ingestion, issue-list synthesis, risk-scored summaries with full citation back to source documents. Hours, not days, on the standard packet.
03 / FEATURE
Audit working-paper assistants
Sample selection, control-test summaries, exception narratives — drafted from the working papers, reviewed by the manager, signed by the partner.
04 / FEATURE
Research & precedent assistants
Case-law and regulation Q&A grounded in the firm’s library and the public corpus. Every claim cited; the assistant never invents authority.
05 / FEATURE
Drafting co-pilots
First drafts of memos, opinions, board packs — in the firm’s voice, against the firm’s templates. Editor-in-the-loop, never publish-direct.
06 / FEATURE
Knowledge management
Surface the firm’s own precedent, prior matters and template library — stop the same memo being written twice in different offices.
Real-world example
Due-diligence cycle, halved — without losing the lawyer.
A regional law firm was running standard data-room reviews on a four-week cycle. We built an issue-list assistant tuned to the firm’s playbook and reviewed every output against the partner’s redline patterns from the last three years.
Before
Status quo
- Standard data-room cycle: 4 weeks
- Associates spending 60%+ of time on first-pass review
- Inconsistent issue-list framing across offices
- No firm-wide precedent surface
After
Post-deployment
- Standard data-room cycle: under 2 weeks
- Associates focused on judgement calls and partner collaboration
- Issue lists framed against the firm’s playbook by default
- Precedent surfaced from prior matters, with citations
ASEAN law firm · post-deployment, anonymised
Solutions that fit
Where to start, by maturity.
AI Sprint — 4 weeks → Validate a contract-review or due-diligence pattern end-to-end with a working prototype.
Text & NLP — documents → Layout-aware extraction with field-level confidence and full audit trail.
Generative AI — drafting → First drafts of memos, opinions, board packs — in the firm’s voice.
Accelerate — embedded → One senior engineer in your sprint cadence, 3–6 months, monthly cancel.
Compliance & assurance
Frameworks we build against.
Professional-services AI lives or dies on confidentiality and accuracy. We build for both as architectural constraints, not policies bolted on at review.
Privilege & matter walls. Client-matter isolation enforced at the data layer. Conflicts checks, ethical walls and need-to-know access designed in, not bolted on.
PDPA & cross-border. Tenant isolation by default; client data stays where the engagement letter says it stays. No training on client data unless the engagement letter says otherwise.
Auditability & defensibility. Every output is reproducible — same query, same sources, same answer. Every citation traceable to the document that produced it.
Want to halve your due-diligence cycle?
Talk to our professional-services lead. We’ll bring the law-firm and audit case studies, plus a redline-pattern starter pack.
Talk to professional services lead
30 minutes · reply within 1 business day