Extract from Tim Rollins’ article, “Prompts vs. Goals: What Makes Agentic AI for eDiscovery a True Paradigm Shift.”
Explore how Agentic AI’s goal-driven architecture provides the auditability and process automation required for high-stakes eDiscovery, legal review, and secure, defensible enterprise data management.
Generative AI has undeniably proven its worth across a range of low-risk tasks—from drafting initial email copies and translating text to summarizing meeting notes and brainstorming ideas. But when organizations attempt to apply those same basic tools to high-stakes legal review, privacy enforcement, or incident response, they quickly hit a wall.
The problem isn’t just model size or compute power. The issue is structural: Generative AI answers prompts; Agentic AI pursues goals. Moving from prompt-based text generation to goal-driven orchestration isn’t a minor interface update—it is a fundamental paradigm shift in how artificial intelligence operates within the enterprise.
In this blog post, part of a series of articles based on Exterro’s recent whitepaper, The Shift to Autonomous, Defensible AI, we’ll dig into these differences between these operating models to explain.
