Navigating the ethical landscape of artificial intelligence in legal practice
Professor Eleanor Chang
J.D., Ph.D., AI Ethics
Michael Brennan
J.D., Former ABA Ethics Committee Member
As AI-powered tools become increasingly central to criminal defense practice, the legal profession faces unprecedented ethical questions. When an AI system analyzes evidence, who is responsible for its conclusions? Can attorney-client privilege survive when case data passes through machine learning models? How should defense attorneys evaluate AI-generated findings for bias, accuracy, and reliability before presenting them in court?
This policy brief examines these questions through the lens of existing legal ethics frameworks, including the ABA Model Rules of Professional Conduct, state bar opinions on technology use, and emerging case law on AI in legal proceedings. It provides practical guidance for defense attorneys seeking to harness AI capabilities while maintaining their ethical obligations to clients, courts, and the profession.
The brief also addresses the broader policy implications of AI in criminal defense, including the risk that AI tools could exacerbate existing inequities in the justice system, the need for transparency standards in AI-assisted legal analysis, and the importance of maintaining meaningful human oversight over AI-generated conclusions that may affect liberty.
A comprehensive analysis of resource disparity in criminal justice forensic technology
Ensuring attorney-client privilege through physically isolated analysis environments
A comprehensive methodology for systematic body-worn camera evidence review
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