Evaluating AI Models for Legal Reasoning: How do Large Language Models Stack up
In a comprehensive evaluation of AI models for legal reasoning, we compared the proprietary models ChatGPT-4o and Gemini Flash against the open-source model Llama 3. The evaluation involved complex legal scenarios to test the models’ abilities in issue spotting, tax calculations, and estate planning. ChatGPT-4o demonstrated stellar performance, accurately identifying and analyzing all 10 issues presented. Gemini Flash, while competent in some areas, showed notable shortcomings in handling nuanced legal concepts, highlighting the need for further improvement through techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning. Llama 3 showed potential but lagged behind in depth and accuracy. This study underscores the critical role of issue spotting in legal analysis and the potential for AI models to assist in this domain, with proprietary models offering more robust support and performance compared to their open-source counterparts.