Matter-scoped evidence
Keep findings and review work connected to the matter and the records that support them.
- Matter identifiers
- Document context
- Source families
Bring documents, findings, knowledge, proposals, and review exceptions into the context of a matter while preserving human control over every consequential action.
Matter Brain is the product direction for connecting review intelligence to the matter, documents, permissions, and recorded decisions.
Keep findings and review work connected to the matter and the records that support them.
Present findings for review with severity, source, and status rather than converting them directly into action.
Separate proposed next steps from approved actions and preserve waiting, failed, and rejected outcomes.
Keep approved knowledge and versioned work available to authorised people without flattening it into a general chat history.
The workflow preserves the difference between source material, machine-assisted analysis, human review, and action.
Start from the authorised matter and its connected records.
Inspect the documents, findings, and source context relevant to the task.
Address missing evidence, conflicts, failed checks, and approval requirements.
Approve, reject, or defer the proposal with the responsible person visible.
A useful intelligence layer cannot create a second path around the matter, tenant, branch, document, or role authority.
Client-supplied matter or document identifiers never grant access by themselves.
A reviewer should be able to identify the material behind a material finding or proposal.
High-impact state changes remain approval-aware, auditable, and reconcilable.
Unavailable providers or missing configuration remain visible instead of producing simulated intelligence.
Questions about the Matter Brain concept, source context, permissions, and professional review.
No. It is positioned as a matter-context and review-intelligence layer connected to governed records and workflows.
Consequential actions should remain subject to the product's existing business rules, server-side authorisation, approvals, and audit requirements.
No. Source context and review controls reduce ambiguity but do not remove the need to verify every material output.
The intended authority is fail-closed: AI retrieval must inherit the same tenant, role, branch, matter, and record permissions as the underlying product.
No provider should be assumed available. The product evaluates provider readiness and should show configuration-required or unavailable states truthfully.
Explore how Lexuno connects matter context, review work, controlled proposals, and human decisions.