LEGAL WORKFLOW DEMONSTRATION

Governed AI assistance without handing over legal judgment.

Star Ridge Intake is a working demonstration of how an unstructured legal inquiry can become structured, reviewable work while preserving uncertainty and human control.

What the demonstration proves

  • Structured extraction from free-text inquiries
  • Evidence-first handling of reported facts
  • Unknown information remains unknown
  • Missing information is surfaced for follow-up
  • Controlled follow-up generation
  • Human review before consequential downstream action
  • Persistent audit history
  • Automated regression and live-model evaluation
Commercial status: This is a tested demonstration, not a claim of an existing production law-firm deployment. Customer implementations would be assessed, scoped, secured and validated for that firm's actual systems and workflow.
Star Ridge Systems workflow automation mark
▦ Intake queue
✓ Review
⌘ Routing
≡ Audit

Evidence & explainability

ReportedSource-supported client facts
UnconfirmedMissing or ambiguous information
WorkflowControlled routing and human-review signals
MOUNTAIN VIEW FAMILY LAW · SYNTHETIC CASE

From workflow discovery to a decision-grade automation recommendation.

Mountain View Family Law is a synthetic 12-person firm created to exercise the Star Ridge assessment process. It demonstrates methodology and software capability; it is not represented as a customer or production deployment.

4Stakeholders modeled
8Workflow steps
5Evidence items
89 / 100Top opportunity score

Opportunity

Automate prospective-client intake data capture and case-system entry to reduce duplicate entry, incomplete information and administrative handling.

Human-control boundary

Conflict review, case acceptance, legal conclusions, legal advice and other professional decisions remain with attorneys and authorized staff.

What this demonstrates: Star Ridge can turn discovery evidence into pain points, scored opportunities, business-case inputs, risk and assumption controls, an implementation roadmap and a recommendation suitable for commercial scoping.

Not a black-box chatbot.

The engineering goal is controlled workflow automation: structured outputs, validation, auditability, explicit human boundaries and measurable behavior.