The Legal AI Advantage Won’t Come From the Model Alone

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Legal teams must focus on operational context and structured workflows rather than just the underlying AI model to achieve transformative results.

Summary

While the legal tech industry is flooded with new AI announcements, Sam Kidd, CEO of LawVu, argues that the true advantage lies not in the intelligence of the model itself, but in the quality of the system it operates within. He explains that two tools using the same underlying AI model can produce vastly different outcomes based on the surrounding data, workflows, and institutional knowledge. Kidd emphasizes that legal teams need to operationalize their knowledge—centralizing clauses, templates, and precedents—to ensure AI outputs reflect their specific legal positions and risk tolerance. He advocates for building connected operating systems that integrate with existing repositories like SharePoint and iManage, rather than relying on disconnected point solutions. This approach, exemplified by LawVu Draft, enables measurable improvements in speed and consistency, such as up to 3x faster negotiations, by providing AI with the necessary context and structure to function effectively within established workflows.

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