The integration of artificial intelligence (AI) into healthcare is transforming the field, offering potential benefits in patient safety and outcomes, but also raising ethical and legal concerns. This article explores the role of AI in professional liability assessment in legal medicine, focusing on its potential to enhance the evaluation of malpractice cases. AI can assist in analyzing complex factors involved in malpractice claims, including informed consent, adherence to standards of care, and causation. However, the use of AI in this context requires careful consideration to ensure fairness and accuracy. AI systems can support expert witnesses in assessing professional liability by analyzing extensive datasets and identifying patterns that may be difficult for humans to detect. However, AI also introduces new challenges, such as the need for transparency, accountability, and the potential for biased algorithms. The article discusses the differences between autonomous AI and AI integrated with healthcare professionals, emphasizing the importance of human oversight and expertise. The use of AI in legal medicine necessitates new skills for judges, lawyers, and expert witnesses. A new type of expert witness may be required to evaluate AI systems and their impact on professional liability cases. This expert witness would need specialized knowledge in both AI and legal medicine to provide accurate assessments. The article also addresses the ethical and legal implications of AI in informed consent, the analysis of physician conduct, and the determination of causation in malpractice cases. It highlights the need for clear guidelines and regulations to ensure the responsible use of AI in healthcare. The integration of AI into legal medicine requires a balanced approach that combines the strengths of AI with human judgment to ensure fair and accurate assessments of professional liability.The integration of artificial intelligence (AI) into healthcare is transforming the field, offering potential benefits in patient safety and outcomes, but also raising ethical and legal concerns. This article explores the role of AI in professional liability assessment in legal medicine, focusing on its potential to enhance the evaluation of malpractice cases. AI can assist in analyzing complex factors involved in malpractice claims, including informed consent, adherence to standards of care, and causation. However, the use of AI in this context requires careful consideration to ensure fairness and accuracy. AI systems can support expert witnesses in assessing professional liability by analyzing extensive datasets and identifying patterns that may be difficult for humans to detect. However, AI also introduces new challenges, such as the need for transparency, accountability, and the potential for biased algorithms. The article discusses the differences between autonomous AI and AI integrated with healthcare professionals, emphasizing the importance of human oversight and expertise. The use of AI in legal medicine necessitates new skills for judges, lawyers, and expert witnesses. A new type of expert witness may be required to evaluate AI systems and their impact on professional liability cases. This expert witness would need specialized knowledge in both AI and legal medicine to provide accurate assessments. The article also addresses the ethical and legal implications of AI in informed consent, the analysis of physician conduct, and the determination of causation in malpractice cases. It highlights the need for clear guidelines and regulations to ensure the responsible use of AI in healthcare. The integration of AI into legal medicine requires a balanced approach that combines the strengths of AI with human judgment to ensure fair and accurate assessments of professional liability.