use-case-triage

To classify AI use cases for legal governance, you triage proposed tasks against a configured use-case registry and governance red lines to produce APPROVED, CONDITIONAL, or NOT APPROVED outcomes.

Conditional approval for an AI use case produces a conditions-and-next-steps table, assigns a governance tier, defines the required approval path, and flags cross-plugin handoffs for privacy or product counsel.

You can perform real-time triage on both single AI use cases and batches when asking whether AI can be used for described tasks, decisions, or workflows.

Yes, AI use case triage automatically flags required cross-plugin handoffs to privacy and product counsel when personal data or product-launch implications are detected in the proposed workflow.

Before running an AI use case risk classification, you must read the practice profile configuration to perform accurate registry lookups and execute governance red-line checks.

You should avoid using automated AI use case triage if your organization lacks a configured use-case registry or established governance red lines, as the classification depends entirely on these configured boundaries.