CLM has helped legal and contracting teams organize agreements and move work through defined workflows. Many decisions still depend on people supplying context: what the business wants to achieve, which guidance applies and what should happen next. In this session, Factor explores how AI can bring that context into the contracting process, helping teams get more from their existing systems.
Featuring Sandy Devine, Nimal Hemelge and Andrew Hunter of Factor, the discussion follows the contracting process from the initial request through negotiation, approval and post-signature learning. The panel examines how AI can draw on business context to support intake and drafting, assess a proposed change against the wider agreement and relevant guidance, and give each approver the evidence needed for their decision. Central to this is a maintained knowledge base that extends beyond CLM data and playbooks to include the team's wider experience and guidance. The panel also explores how patterns in signed agreements can improve templates and future negotiations, with traceability and human judgment built into the process.
Watch and learn
- Where AI can add value alongside CLM, from understanding a business request to supporting negotiation and approval decisions.
- How to give AI the organizational knowledge and business context it needs, with evidence people can check and decisions they can own.
- How to use lessons from signed agreements to improve guidance, templates and the next contract.
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