Ned Gannon

In this episode, Ted sits down with Ned Gannon, Co-Founder, CEO & GC at Coheso, to discuss how in-house legal teams are shifting to AI-native workflows and redefining the way corporate legal work gets done. From the rise of in-house legal spend to the challenges of change management, Ned shares his expertise in workflow design, legal operations strategy, and measuring ROI in legal tech. With insights on orchestration layers, agentic AI capabilities, and the need for better data visibility, this conversation gives legal professionals a practical look at the future of modern legal departments.

In this episode, Ned shares insights on how to:

• Understand the shift toward in-house legal work and what’s driving it
• Evaluate when AI can streamline workflows and reduce bottlenecks
• Build an orchestration layer that ties legal processes and tools together
• Navigate change management to ensure successful tech adoption
• Measure ROI and track performance using data from legal operations

Key takeaways:

• Over half of corporate legal spend is now in-house, signaling a major shift in legal work dynamics
• AI-native workflows can significantly improve efficiency and reduce manual bottlenecks
• Change management, not technology, is often the biggest barrier to adoption
• A unified orchestration layer helps legal teams gain visibility and control
• Measuring ROI is essential for demonstrating value and encouraging continued investment in legal tech

About the guest, Ned Gannon

Ned Gannon is the Co-Founder and CEO of Coheso, an AI native legal front door and work management platform built for modern in-house legal and compliance teams. Before Coheso, he co-founded and led eBrevia, one of the earliest AI driven contract analytics companies, through its acquisition by Donnelley Financial Solutions, where he later served as President of the subsidiary. A former corporate attorney with a Harvard Law degree, Ned is widely recognized as a leading voice in legal AI and was named one of Capterra’s “Legal Tech Entrepreneurs to Watch.”

I think we are still in the early stages of that Bell [AI] adoption curve. So it’s the early adopters that are leaning heavily into the agentic capabilities.

Connect with Ned:

• Coheso’s Website: https://www.coheso.ai/ 
• Ned’s LinkedIn: https://www.linkedin.com/in/nedgannon/?isSelfProfile=false 
• Coheso’s LinkedIn: https://www.linkedin.com/company/coheso/