In this episode of The Geek in Review podcast, hosts Marlene Gebauer and Greg Lambert welcome Jeroen Thierens, Strategic Account Advisor, and Jorn Vanysacker, co-founder of Henchman, a Belgian legal tech company that focuses on building an intelligent drafting assistant for lawyers working on complex transactional contracts based on precedents in the firm's DMS. Vanysacker shares the story behind Henchman's founding, emphasizing the importance of solving a clear problem with a focused product strategy. The company's mission is to unlock the collective knowledge within law firms and legal departments by connecting to their document management systems, recognizing contracts and clauses, and making this information easily accessible within Microsoft Word and Outlook.

Henchman serves both in-house legal teams and law firms, with a customer base spanning from boutique firms to AmLaw 200 firms. The platform addresses two main use cases: drafting transactions and assisting knowledge management teams in gaining data-driven insights to prioritize their work and boost relevant knowledge in search results.

The discussion also touches on Henchman's integration with Microsoft Copilot, which aims to provide more accurate results when drafting contracts by leveraging the structured data and metadata within the platform. The company's European perspective is reflected in its language-agnostic system, which works seamlessly with multiple languages, making it an attractive solution for global law firms.

Looking ahead, Vanysacker and Thierens discuss the challenges and opportunities presented by generative AI in the legal industry. While acknowledging the potential of large language models, they emphasize the importance of context and accuracy in transactional work. Henchman's approach is to use AI as a tool to enhance their product, focusing on providing the next best options rather than just the next best words, ultimately aiming to become the "Chief of Staff" for each legal professional.

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Music: ⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠