AI: Passing the Bar Isn't Practicing Law, with Cassie Harman, Chief Product Officer at Nitro

AI: Trust but Verify is the top AI podcast where Alec Crawford, founder and CEO of Verapath, talks with leaders who build, buy and govern AI in the enterprise. Each episode looks past the hype at what's really working, where the risks are, and how to adopt AI responsibly, especially in regulated industries. Trust the technology, but always verify.

About our guest

Cassie Harman is Chief Product Officer at Nitro, a document productivity company whose AI tools help enterprises handle forms, redaction and document workflows at scale. Before joining Nitro just over two years ago, Cassie used machine learning in the energy industry to predict customer usage patterns and equipment failures. She has spent years helping enterprises through digital transformation, with a focus on building products people actually use.

Top 5 takeaways

• The "boring" AI delivers the biggest ROI. The most valuable gains come from AI built into everyday workflows, like extracting data from hundreds of forms at once, not from flashy features. Nitro's customers spent 29.5 million minutes, the equivalent of 56 years, redacting documents by hand last year.
• Shadow AI is a tooling problem, not a policy problem. More than half of the managers in Nitro's survey say sensitive documents are being uploaded to public AI tools. The fix is approved tools that are good enough and convenient enough that employees choose them.
• The best AI is an "implementation detail." AI should disappear into the workflow while staying transparent about what's AI-powered. Watch out for vendors adding "AI sizzle" to impress shareholders instead of solving real user problems.
• Keep a human in the loop. As long as AI's reliability lags behind its capability, people need to oversee it, especially in regulated industries. Passing the bar exam doesn't make an AI a lawyer.
• Product and engineering roles are converging. Product managers need to prototype with tools like Claude Code, and engineers need a product mindset. Teams that work in silos will struggle, and chasing speed without quality leads to mediocrity.

Links

• Nitro: https://www.gonitro.com
• Verapath AI: https://www.verapath.com
• Mentioned in this episode: Jeremy Snyder's earlier AI: Trust but Verify episode https://open.spotify.com/episode/3diaoHgw9eID9ygkEkBUTG?si=Tf3TtmGES72ihrlEYS1q2Q

Copyright (C) 2026 Artificial Intelligence Risk, Inc. All Rights Reserved