Demo: governance-first AI readiness
This demo runs locally with structured knowledge base objects. It proves that structure and governance matter more than model size — no external APIs or paid LLM calls required.
Mock mode by default
The demo uses synthetic or redacted data, makes no production writes, and includes traceable sources for every response.
Why this isn’t a chatbot: it models decisions, rules, and escalation paths so operators can audit the outcome.
Knowledge base explorer
Example workflows, decisions, rules, and exceptions — each tied to a source citation.
Filters
Objects
Paralegal intake decision rules
Defines which legal intake requests require escalation and evidence capture.
Requests involving regulated data, litigation holds, or cross-border discovery trigger escalation to counsel. Routine contract review stays with paralegal unless turnaround exceeds 72 hours or exceptions are flagged.
Citations
- Legal Intake SOP 4.2
- Matter risk policy 2024-02
Structure > model size
Well-formed decision objects beat larger models without context.
Governance > novelty
Auditability, ownership, and escalation rules stay visible.
Explainability > magic
Every response cites a source object you can trace.
Question simulator
This uses local retrieval plus a deterministic template — no hosted LLM calls, with citations preserved.