Traceability, Human Validation, and Defensible Use of Artificial Intelligence and Agents in Legal Work: Toward a Minimum Standard of Professional Control

Abstract

The incorporation of generative artificial intelligence into legal work is no longer exceptional. It is increasingly present in law firms, in-house legal departments, specialized consultancy and, more controversially, in judicial settings. Yet the debate is still often framed in terms of efficiency, speed, or automation. This article argues that such framing is legally insufficient. Whenever artificial intelligence materially intervenes in legal research, classification, synthesis, drafting, or decision-support tasks, the relevant issue is not only the apparent correctness of the final output, but also whether the process through which that output was generated, reviewed, and adopted by a human actor can be reconstructed, controlled, and justified. The article’s central hypothesis is that the professionally legitimate use of artificial intelligence in legal work requires a minimum standard of traceability, substantive human validation, and defensible process. That standard becomes more demanding when AI is deployed through agentic architectures or systems connected to external sources, repositories, tools, or knowledge bases, due to specific risks such as prompt injection, knowledge-base contamination, exfiltration of sensitive information, and unauthorized action execution. These risks should not be treated solely as cybersecurity problems, but also as matters of professional diligence, technological competence, confidentiality, argumentative integrity, and responsibility attribution. On that basis, the article proposes a minimum standard of professional control aimed at distinguishing legitimate assisted use from improper delegation of legal judgment.