In our second installment of Assembly Required - A series of candid conversations with AI founders sharing insights and learnings - AssemblyAI CEO Dylan Fox sits down with Ironclad CEO Jason Boehmig as they look back on Ironclad’s journey and how their long-standing vision of being an AI company has come to reality over the last few years. Drawing from his experience as a contracts lawyer, as well as the last 10 years building Ironclad into a leader in the legal management space, generating north of $100 million in ARR and serving some of the top legal teams across industries, Jason shares insights on how to build winning product experiences and customer value by focusing on the workflow rather than the product capabilities. They discuss crucial AI decisions that founders need to make when they’re deciding whether to build their own capabilities or buy from top model providers, as well as the crucial difference between an AI strategy that sounds great in messaging and an AI strategy that actually performs well across your product portfolio.
Learn how Ironclad, founded in 2014, addresses the need for powerful, accurate workflows for legal teams throughout the contracts process and embeds AI throughout the entire legal workflow to provide maximum value for legal teams at companies like L’Oreal, OpenAI, and more. Gain valuable insights on how to evaluate AI opportunities across your product portfolio, the difference between a strong AI message and strong AI capabilities, and the unforeseen costs to be aware of when deciding to build your own AI capabilities versus buying from top model providers.
To read more on Ironclad’s story, visit: https://www.assemblyai.com/assembly-r...
0:00 - Ironclads's founding story and Jason Boehmig’'s background
4:18 - How Ironclad focused on building and automating legal workflows to create a great product experience
5:50 - How Ironclad’s AI vision and strategy has changed and matured over the last 2 years
9:24 - Balancing risk and innovation in Ironclad’s roadmap and product experience
14:22 - Ironclad’s strategy around building their own AI capabilities versus building on the latest state of the art
19:08 - Difference between the results of an AI strategy and the marketing allure of an AI strategy
24:49 - Jason’s perspective on what’s needed to drive enterprise AI adoption
27:54 - Ironclad CEO's biggest surprise over the last 18 months
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