Knowledge & reasoning / PROPOSED CONCEPT
Disclosure evidence reviewer.
Document family tracking. Candidate redaction review.
The opportunity
A real need.
A considered response.
A review team must trace documents, versions, potential redactions and disclosure decisions. An evidence workspace can prepare candidate passages while retaining the original and the review history.
DESIGNED AROUND
Legal document-review teams.
What would this look like for you?
Ask the architect to connect this concept to your systems, or challenge its assumptions.
The experience
What this could make possible.
Candidate redaction review
Source-page evidence
Lawyer approval history
01
Load an approved document set
→02
Locate candidate passages
→03
Review originals and proposed redactions
→04
Approve a disclosure export
Under the surface
The engineering
behind the experience.
Architecture is a starting hypothesis. Discovery and representative tests decide what belongs in the first build.
POTENTIAL CONNECTIONSLegal document repositoryMatter access controlReview export pipeline
01Architecture to explore+
- Versioned OCR and text extraction
- Role-scoped semantic retrieval
- Irreversible-redaction verification on approved exports
- Audit trail with privilege decisions made by counsel
02Integration dependencies+
Legal document repository, Matter access control, Review export pipeline. Confirm access, data ownership, update frequency and failure behaviour during discovery.
03Validation and human control+
Test missed sensitive passages, over-redaction and whether exported files reveal hidden text. Legal professionals decide privilege, relevance and disclosure. No autonomous legal determinations.
A useful first step
Start small.
Learn something real.
A synthetic matter with an expert-labelled disclosure rubric and known redaction targets.
Evidence to look for
Test missed sensitive passages, over-redaction and whether exported files reveal hidden text.
A boundary to design for
Legal professionals decide privilege, relevance and disclosure. No autonomous legal determinations.
Proposed scope, not a delivery commitment. Data, permissions, operational constraints and sector requirements need review before implementation.
Connected capabilities
AI Agents & Workflow AutomationKnowledge & Document AIBackend, API & Integration EngineeringResearch behind the direction
Thomson Reuters InstituteGenerative AI in professional-service workflows ↗AnthropicBuilding effective agents ↗AnthropicDemystifying evals for AI agents ↗These sources inform technical possibilities. They do not demonstrate a Tomatrix deployment or endorse this proposed product.
From possibility to a conversation
Make this
your starting point.
Add a little context. Preview a practical brief, then keep it for a conversation with Tomatrix.
Built locally from this concept. No AI service is called and nothing is submitted. Please leave out confidential information.
Preview your concept brief
PRODUCT EXPLORATION: Disclosure evidence reviewer Status: Proposed concept — scope and feasibility to be agreed. Our context: To be discussed. Who this could help: Legal document-review teams. A useful first pilot: A synthetic matter with an expert-labelled disclosure rubric and known redaction targets. What to evaluate: Test missed sensitive passages, over-redaction and whether exported files reveal hidden text. Important boundary: Legal professionals decide privilege, relevance and disclosure. No autonomous legal determinations. Integrations to explore: Legal document repository, Matter access control, Review export pipeline Concept reference: /products/disclosure-review
Keep exploring
Related possibilities.
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Fault-code evidence retrieval. Vehicle-specific bulletin matching.
PROPOSED CONCEPT
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Requirement-to-evidence mapping. Missing-document review.
PROPOSED CONCEPT
Curriculum planning studio ↗
Objective-to-lesson mapping. Source-grounded activities.