The platform moves beyond simple question-and-answer interactions. By leveraging a user’s specific playbooks and internal standards, the agent performs redlining, generates custom dashboards, and executes code to transform raw contract data into actionable reports. Unlike typical generative tools that merely suggest text, Saige Assist: Agent integrates directly into the IntelAgree environment and Microsoft Word, allowing it to propose edits or update contract rules—provided these actions receive human approval first.
IntelAgree Chief Product Officer Kyle Myers emphasizes that the agent’s value lies in its context-awareness. Because it is trained on a customer’s unique negotiation history rather than generic LLM consensus, the assistant adapts to the specific nuances of how a team operates. Users can further tailor performance through shareable personas and a reusable prompt library, ensuring consistent application of standards across an entire enterprise. The system is currently undergoing final beta testing, with broader access coordinated through company success managers.





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