Many early AI pilots in legal stall for predictable reasons: models hallucinate, outputs sound confident but miss the point, or adoption collapses after the demo. The difference is outcome-driven design—building LLM integration around measurable legal results.

Legal work is shifting from manual, email-driven practice to workflow-driven, AI-assisted operations. This transformation guide covers intake, extraction, triage, and review—with a framework for moving from scattered tools to connected workflows.