The tool is rarely the problem
Lucy Bassli's read on CLM programs that disappoint is that expectations break before the software does. Clean templates, documented approval routing, and a real playbook have to exist before automation can carry them.
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On-Demand Webinar
Most contract teams run a fraction of what they bought. Lucy Bassli joins IntelAgree's product team to explain why adoption stalls after go-live, where AI is delivering real value in contracting right now, and how to get more out of the platform you already selected.
Key Takeaways
The software usually works. What separates the teams getting full value from the ones stuck running a slice of the platform is everything around it: the prep work, clear ownership, and the patience to train a new tool the way you would train a new hire.
Lucy Bassli's read on CLM programs that disappoint is that expectations break before the software does. Clean templates, documented approval routing, and a real playbook have to exist before automation can carry them.
Contract lifecycle management is little c, little l, little m: stakeholders, timelines, and systems that need ongoing ownership. Go-live starts the work, and change management is what earns the adoption.
Post-signature search and data extraction have come a long way, and AI now works as a smart first pass on review and negotiation. Confidence comes from working with the output, not around it.
Video
Lucy Bassli on where adoption actually breaks down, James Parks on why native AI architecture and shared contract context beat a stack of point solutions, and a live walkthrough from Michael Schacter and Maria Swerchowsky covering attribute setup with no model training, contract risk scoring, and one-click redlines inside Microsoft Word.
Meet the Presenters
CEO and Founder, InnoLaw Group. Spent years as a senior attorney at Microsoft overseeing contracting operations at a scale of hundreds of thousands of contracts a year. Author of Contracting Simplified, CLM Simplified, and The Simple Guide to Legal Innovation.
Chief Product Officer, IntelAgree. Moderates the conversation and pushes on the gap between what a CLM platform can do and what teams actually use.
Chief Data Scientist, IntelAgree. Walks through where AI agents and point solutions help, where they fall down on approvals and auditability, and why IntelAgree builds its AI natively.
Director of Product Management, IntelAgree. Covers what customers are getting from data extraction, negotiation support, and risk scoring, and how little input Saige Assist needs to start.
See IntelAgree on the agreements your team handles every day — not a canned demo. We'll show you exactly where AI-native CLM removes the manual work, keeps legal in control, and moves every contract faster, buy-side and sell-side.