This category examines how AI-driven legal workflows are validated through Human-in-the-Loop (HITL) frameworks to ensure accuracy, accountability, and defensibility. Drawing from real-world legal operations, we explore how human expertise complements automation in document review, data classification, and compliance-sensitive tasks—helping legal teams adopt AI responsibly without sacrificing quality or control.

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