How do you measure whether an AI agent helps legal/compliance or creates more work?

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Measuring an AI agent's impact in legal/compliance involves assessing its ability to enhance efficiency and reduce risk without introducing new burdens. Key metrics include time saved on routine tasks such as document review, contract analysis, or policy adherence checks. We also evaluate accuracy improvements, such as fewer human errors in compliance reporting or better identification of relevant legal precedents, and a quantifiable reduction in regulatory fines or litigation risks. Conversely, an agent creates more work if it generates a high volume of false positives requiring extensive human verification, necessitates significant data clean-up or pre-processing efforts, or introduces unnecessary complexity to existing workflows. User feedback from legal professionals on its usability and perceived value is crucial, alongside tracking the overall reduction in human workload versus the effort required to manage the AI itself. Ultimately, the goal is a demonstrable positive ROI, measured by increased productivity and mitigated risks, not just task automation.