ai-use-case-intake

# AI Use Case Intake ## Purpose Produce a structured, attorney-ready intake record for a proposed or in-flight AI/ML use case. The record captures the information legal and compliance teams need to triage, route, and assess the use case — it does not render a legal conclusion about lawfulness or compliance. The preliminary risk tier is a triage signal only. ## Use When - A product, engineering, or business team is proposing a new AI or ML feature, product, or workflow and needs legal sign-off or triage. - An existing AI use case is being materially changed (new model, new data, new affected population, new market). - Legal or compliance has received a question like "is this AI thing okay?" and needs a structured starting point. - A governance or AI review committee requires a standardized intake record before approving a use case. - A vendor is proposing an AI-enabled product or service and the organization must assess it before contracting. ## Required Inputs - **Use case description**: A plain-language description of what the AI system does and why, provided by the requester. - **AI system or model details**: The specific model(s), provider(s), or platform(s) involved (e.g., OpenAI GPT-4o via API, AWS SageMaker custom model, Microsoft Copilot). - **Input data description**: What data goes into the model — sources, types, whether it includes personal data, and any sensitivity classifications. - **Output description**: What the system produces and how outputs are used o...