#11: Ironclad

In this episode, Anthony Thomas and Zac Henderson are joined by Jasmine Singh, General Counsel at Ironclad, the leading contract lifecycle management platform. Jasmine shares how her legal team is using AI across contract review, compliance analysis, employment law workflows, and team management, while maintaining the governance structures necessary to do it responsibly at scale.The conversation gets at something most AI discussions in legal avoid: the tension between a lawyer's instinct to minimize risk and the organizational cost of being the source of friction. Jasmine's approach flips that framing, using the duty of competence as the argument for adoption, not against it.Key Takeaways:A tiered governance model (some tools freely, some with enterprise controls, some off-limits) is more effective than blanket AI restrictionLegal ops must be involved for AI to scale beyond individual use, playbooks, prompts, and frameworks require active managementIronclad's Jurist generates surgical, playbook-driven redlines that mirror how humans actually negotiate, preserving goodwill with counterpartiesAI frees lawyers from reactive, volume-driven work and creates space for more strategic, business-aligned legal adviceSuccess metrics worth tracking: minutes saved per contract, deal cycle time, legal ticket deflection, and team AI usage ratesFor lawyers who have never used AI, start with summarization and synthesis on a document already in front of youAbout the PodcastThe A to Z of AI is hosted by Anthony Thomas and Zac Henderson and powered by The Suite. The show explores real-world AI use cases across industries, focusing on practical workflows, tools, and lessons learned from operators using AI in their daily work.