LEGAL OPERATIONS
Legal Is Already Ahead on AI—It’s Time to Track It with Legal AI KPIs By NOGA ROSENTHAL WHAT DO LEGAL AI KPIS LOOK LIKE? We’re aligning our AI-related KPIs to reflect the different levels of responsibility and impact across our function. For instance, as general counsel, my KPI’s are:
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s organizations begin tracking AI usage across departments, many are surprised to learn that the general counsel is one of the most active AI users, often more than executives in marketing, IT, or product. As GCs, we sit at the crossroads of risk and strategy. We’re asked to respond faster, with fewer resources, to increasingly nuanced legal, regulatory, and operational demands. Some of us may be the only legal person at a company. AI is becoming essential to how we deliver value to the business, or just help us get home in time to have dinner with the family. Like many GCs, I use AI to review contracts, summarize new regulations and draft emails. But as our BACK TO CONTENTS
team’s AI adoption deepens, I am realizing something important: we need a better way to measure how, where, and why we’re using AI and the value it’s actually delivering. To demonstrate the value of this adoption, legal teams must begin incorporating AI usage into their KPIs to show how they’re driving efficiency, leveraging data, and aligning with broader business goals. That’s why I am working with my team to implement formal goals and KPIs around AI adoption and its impact both for myself and our legal department. I recommend all general counsel begin this process now so they have enough feedback and data in preparation for their end-of-year reviews.
1. AI Adoption Rate in Legal Operations • Percentage of legal workflows (e.g., contract review, summarizing regulations) using AI tools 2. AI-Driven Efficiency Gains • Reduction in average contract review/turnaround time due to AI (i.e., reduce contract review cycle time by 30% through AI-assisted tools by year-end) • Percentage decrease in manual legal research hours • Percentage decrease in questions to outside counsel 3. Risk Mitigation and Compliance • Number of AI-related legal/ compliance incidents (e.g., hallucination) detected and resolved • Percentage of AI models and vendors reviewed for legal, privacy, and ethical compliance (i.e., ensure 100% of new AI deployments undergo legal and privacy review before launch)
SEPTEMBER/OCTOBER 2025
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