White Paper

Legal red teaming: A systematic approach to assessing legal risk of generative AI models

Legal red teaming: A systematic approach to assessing legal risk of generative AI models

Pages 12 Pages

This DLA Piper white paper introduces AI legal red teaming as a structured method to test AI systems against legal, ethical, and compliance risks. It adapts cybersecurity red teaming concepts to probe vulnerabilities such as bias, misuse of data, transparency gaps, and regulatory non-compliance. The framework emphasizes cross-disciplinary collaboration between legal, technical, and business teams to simulate real-world risk scenarios. It also highlights the growing influence of regulations like the EU AI Act and U.S. Executive Orders, urging organizations to adopt proactive legal stress-testing of AI. This approach helps anticipate liabilities, strengthen governance, and build trust in AI deployments.

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