The Present and Future of AI in Contract Lifecycle Management Whitepaper
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AI adoption in contract lifecycle management (CLM) is nearly universal yet real transformation lags. See what it takes to bridge the gap in this research from Conga, sponsored by Salesforce.
In This Download We’ll Cover:
A deep dive into learnings from the Conga and Talker Research report, sponsored by Salesforce
Why research shows only 24% of senior leaders consider their CLM truly optimized
Learn where AI creates value today and what moves organizations from experimentation to impact
Download the AI in Contract Lifecycle Management (CLM) Whitepaper
Most organizations adopted AI to solve real problems, but inconsistent processes, limited risk visibility, and rising costs lead to an inability to scale. Today, the primary benefit most teams report is speed. The deeper opportunity remains untapped.
This whitepaper explores learnings from the AI in CLM Trend Report and what it actually takes to move from AI adoption to strategic impact.
What the research reveals:
- 95% of organizations use AI in CLM, but only 24% consider it optimized, most are still early in the journey
- Today's use cases skew reactive: search and reporting (69%), risk assessment (68%), contract review (59%)
- Leaders want more: a business intelligence layer (57%), continuous risk monitoring (55%), and decision support (49%)
- 92% still require human review of AI outputs — scaling AI is as much a governance challenge as a technology one
What you'll learn: Where AI is delivering real value today, why maturity lags behind adoption, the barriers to scaling, and what leading organizations are doing differently to bridge the gap.
Who it's for: Legal, Procurement, Sales Ops, and Compliance leaders: CLOs, CROs, General Counsel, and VP-level decision makers across healthcare, financial services, technology, and manufacturing.
For more information, check out the companion trend report.
Based on a survey of 250 senior CLM professionals conducted by Talker Research, February 2026.