Contract & Compliance Review Engine
An AI review layer for the contract and compliance document corpus — extracts canonical clauses, flags off-standard terms against the business's precedent, checks policy compliance against regulatory and internal standards, surfaces anomalies for legal review.
- Engagement
- 6–10 week build · ongoing operation
- Built for
- General Counsel · Compliance leads · Procurement teams · Operations
Contracts arrive at the rate of business growth, regulatory environment shifts, internal policies update — and the legal-and-compliance team reads every document by hand to catch what's off-standard or non-compliant. The pace makes thorough review the exception rather than the rule.
What this is
A review-acceleration layer for legal and compliance teams. Three layers:
- Clause extraction. Canonical clauses (term, termination, indemnity, change-of-control, MFN, exclusivity, transfer restrictions, etc.) extracted with confidence scoring.
- Off-standard flagging. Clauses benchmarked against the business's contract precedent. Anomalies flagged with confidence.
- Policy compliance. Per-business rule set applied against incoming documents. Compliance gaps surfaced for legal review.
How it's built
LayoutLM-class extraction for the structured fields, BERT-class clause models fine-tuned on the legal corpus, embedding-based precedent matching against the business's historical contracts. Rule-engine for the policy-compliance layer.
What you get
- The clause-extraction pipeline.
- The off-standard flagging system with precedent comparison.
- The policy-compliance rule engine, configured to the business's regulatory environment.
- Review queue UI for the legal team.
- Quarterly rule-set review and precedent-base refresh.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 6–10 week build · ongoing operation
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
- Same suite · AI Implementation Suite
Document Intelligence Engine
A document-AI pipeline that ingests the business's document corpus, classifies by type, extracts the relevant fields, routes to downstream systems with confidence-graded review queue.
- Also in · Family Office Suite
Legal & Compliance Document Summarizer
An LLM-and-extraction layer over the FO's legal document corpus — summarizes incoming documents, extracts and tracks key clauses, surfaces anomalies against precedent, generates working drafts for routine review.
What buyers ask about this one.
How is this different from the FO Legal & Compliance Summarizer?
Same modeling backbone, different scoping. The FO version is built specifically for the family-office document corpus (trust documents, family-specific contracts, FO-jurisdiction regulatory). This is the general-business version — broader contract types, general regulatory checking, no FO-specific specializations.
What's the policy-compliance layer?
Per-business: the legal and compliance team configures the rule set — regulatory standards the business operates under (HIPAA for healthcare-adjacent, SOC 2 for SaaS, PCI for payment-processing-adjacent), internal policies (vendor-engagement requirements, data-handling standards, conflict-of-interest rules). Documents get checked against the rule set; non-compliant or ambiguous-compliant documents get flagged.
Can it draft response letters?
For the routine cases (renewal letters, standard non-disclosure responses, scheduled notifications), yes — drafts in the business's voice, the legal team finalizes. For the judgment-required cases (negotiation, novel-issue response), the engine surfaces the issue for human handling rather than drafting.
What about contract negotiation support?
Off-standard-term flagging surfaces the negotiation points. The engine doesn't negotiate; it tells the legal team where the negotiation will be. Some clients pair this with the AI Transformation Engagement to deploy negotiation-support tools downstream.
Pricing?
Scoped to document volume and the breadth of compliance regimes. Discovery call covers both.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026