56 - The Ethics of AI in Law and Understanding Its Impact on Legal Professionals with Professor Heidi Brown
Feb 19, 2025
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Heidi K. Brown, Associate Dean at New York Law School, dives into the ethical implications of AI in legal writing and education. She discusses AI hallucinations, emphasizing the need for critical thinking and a strong writer identity among legal professionals. The conversation covers how AI tools can enhance student learning while also presenting challenges that require careful oversight. Heidi advocates for balancing AI assistance with traditional methodologies and explores innovative training approaches inspired by athletes to improve the legal profession’s well-being.
AI integration in legal education highlights the necessity of equipping students with strong research and writing skills alongside AI proficiency.
The phenomenon of AI hallucinations poses significant risks in legal contexts, emphasizing the critical need for lawyers to verify AI-generated information.
Deep dives
The Role of AI in Legal Education
AI is increasingly integrated into legal education, with professors and students exploring its implications and uses in legal writing. One professor experimented with ChatGPT during a class to understand its performance when graded against traditional assignments. Results indicated that while AI can produce content, it often lacks the accuracy and nuance needed in legal writing, scoring only a 45 out of 100. This experience reinforced the importance of teaching students robust legal research and writing skills alongside their proficiency in AI tools.
Addressing AI Hallucinations in Legal Practice
The phenomenon of AI hallucinations, where AI generates false information, has affected several lawyers and pro se litigants, leading to serious repercussions in court. With 14 documented cases, the issue highlights the risk of relying solely on AI for legal citations without verification. Not only lawyers but also self-representing individuals have caused confusion by filing documents citing fictitious cases, straining court resources. This situation underscores the urgent need for lawyers to ensure accuracy by cross-checking AI-generated information against established legal principles.
Maintaining Quality and Accuracy in AI Applications
While AI tools like ChatGPT can enhance creative outputs, they must be used responsibly to ensure legal accuracy and quality. Users are encouraged to balance the benefits of AI with traditional research methods, especially when complex legal questions arise that AI may not address accurately. Practitioners should have a vetting process, possibly assigning someone specific to double-check AI outputs versus using them uncritically. This approach promotes thoroughness and mitigates the risk of legal misstatements arising from unverified AI suggestions.
Holistic Approaches to Training Future Lawyers
There is a growing movement to train future lawyers similarly to how athletes are coached, focusing on holistic skill development and individualized attention. This perspective recognizes that law students and lawyers have diverse capabilities and challenges, which calls for tailored support rather than a one-size-fits-all approach. Emphasizing open communication about strengths and weaknesses can foster a more enriching learning environment and reduce anxiety in high-pressure settings. By adopting this model, legal education can better prepare students for the complexities of modern law practice.
Ted sits down with Professor Heidi K. Brown, Associate Dean for Upper Level Writing at New York Law School, to discuss the evolving role of AI in legal writing and education. From understanding AI hallucinations to mastering effective prompt engineering, Heidi shares her expertise in helping law students and lawyers navigate the ethical and practical challenges of integrating AI into their research and writing workflows. With AI reshaping the legal landscape, this conversation highlights the importance of critical thinking, maintaining a strong writer identity, and balancing AI assistance with traditional legal methodologies.
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