Neil Araujo, the CEO and cofounder of iManage, was last on this podcast almost exactly two years ago. In the dog years of the legal industry\u2019s AI age, that feels like a long time ago. Our conversation then was about law firms still feeling their way around generative AI. But now, as you will hear [\u2026]<\/p>\n
Neil Araujo<\/a>, the CEO and cofounder of iManage<\/a>, was last on this podcast almost exactly two years ago<\/a>. In the dog years of the legal industry\u2019s AI age, that feels like a long time ago. Our conversation then was about law firms still feeling their way around generative AI. But now, as you will hear in this episode, the focus is about what it actually takes to put AI to work at scale \u2014 and iManage\u2019s answer is that it starts with what Neil calls a knowledge foundation: the content, context and governance layer that makes AI responses not just fluent, but relevant and trustworthy.<\/p>\n Two weeks before we recorded this episode, iManage unveiled the next evolution<\/a> of its document- and knowledge-management platform, one built around what iManage calls a \u201ccontext fabric\u201d \u2014 an architectural layer the company says transforms an organization\u2019s accumulated documents and activity into a \u201cliving, governed foundation\u201d for AI agents. It also announced iManage MCP<\/a>, a standardized, open-protocol connection that enables any AI systems to securely access governed iManage content without custom integrations.<\/p>\n In this conversation with host Bob Ambrogi, Araujo discusses these and other recent developments. He also discusses where he sees the legal industry heading as AI moves from experimentation to operational reality.<\/p>\n Listen here:<\/strong><\/p>\n