Trust Center

The controls around one central system for sensitive casework.

A central trust portal for teams evaluating Caseflow before bringing legal, investigative, inheritance, and other confidential case records out of fragmented tools and into one workspace.

Enterprise review hub

Caseflow trust materials support procurement, security review, privacy assessment, and AI governance discussions with clear language about how the system handles sensitive casework.

  • Tenant-scoped access controls and role-aware workspace permissions.
  • Permission-aware AI retrieval constrained by accessible case, task, and document records.
  • Document-scoped authorization with short-lived access links in migrated document flows.
  • Reviewable AI actions with confirmation workflows for supported write operations.
  • Clear trust information written for product review, onboarding, and support conversations.

Trust resources

What is strong today

The strongest trust areas are the main AI retrieval path, tenant/case/document scoping, permission-aware context rebuilding, and confirmation-gated AI write actions.

AI retrieval

Scoped by tenant, case, document accessibility, hashed metadata, post-validation, and stale vector rejection on the hardened path.

Document access

Migrated document views request permission-checked short-lived access links instead of reusing stored token URLs.

Human review

AI output is positioned as assistive and reviewable, with professional decisions left to users.

What remains transparent

Some legacy or out-of-scope surfaces still require migration plans, and public pages avoid claiming that every URL, attachment, or processing path has identical controls.

  • Legacy URL-only records remain supported for compatibility.
  • Pattern redaction reduces exposure but is not guaranteed anonymization.
  • Provider processing and retention commitments depend on approved configuration and contract terms.