I've been developing AI strategies, identifying use cases, and refining AI "Skills", structured instructions for LLMs, and I’m excited to introduce a new one: AI Governance Reviewer.
I submitted this skill to Lawve AI and it's now in a sandbox for anyone to use!
The AI Governance Reviewer skill is designed to help evaluate internal AI use cases, LLM workflows, and third-party AI vendors against defined governance guardrails, risk controls, and quality standards. It also helps inform and validate responsible AI principles, policies, and broader governance frameworks through testing against representative use cases. Sub-agents, continuous file system access, and MCP tool integrations are not necessary for this skill.
Instead of giving a generic high-level response, it is built to:
• Ask structured intake questions
• Identify required documents and evidence gaps
• Map the use case to relevant AI governance frameworks
• Generate a draft review with scorecards, findings, and remediation steps
As a test case, I ran it against a realistic scenario: a company evaluating DocuWare's Intelligent Document Processing solution. I’m sharing a sample Word output so you can see the type of analysis it produces.
If you work in legal, AI, AI governance, compliance, or risk, I hope you'll take a look. It offers a glimpse into how I build practical AI tooling for real use.
I'm looking for my next role after a recent layoff. My work has sat at the intersection of legal, technology, and operations, with a focus on applying AI to improve efficiency, strengthen decision-making, and reduce risk. If that aligns with what your team is looking for, I'd love to connect. I’m also open to consulting and contractor opportunities.