Workflow
- Assemble evidence references, tenant scope, workflow context, policy, schema, validator, and fallback.
- Run the AI task through the centralized provider layer.
- Validate references and output shape before artifact or workflow handoff.
Evidence-grounded AI
Evidence-grounded AI for patent intelligence workflows
Evidence-grounded AI means the model task is bound to scoped IP evidence, workflow policy, output schema, validation, and fallback before generation. IPClavis uses this pattern for search, reports, watchlists, 3i, bulletins, and drafts.
Evidence model
- Runtime Context Assembly binds evidence, tenant scope, workflow context, policy, schema, fallback, and validation.
- Evidence Reference Validation checks outputs against allowed references.
- The context control plane supports reports, FTO briefs, prior-art summaries, watchlists, R&D drafts, and bulletins.
What IPClavis does not do
- Allow product domain apps to call model providers directly.
- Accept unsupported generated claims as evidence.
- Treat AI output as a source of legal truth.
Legal boundary
Evidence-grounded AI improves traceability and review discipline. It does not remove the need for professional evidence review or legal judgment.