In this episode of 'Case by Case', Justin Waltrip and Jagriti Pandey discuss the impact of AI, particularly large language models (LLMs), on the legal industry. They explore the limitations of LLMs, including their inability to perform accurate mathematical calculations, the challenges posed by outdated information, and the difficulties in handling specific domain knowledge. The conversation also covers the importance of dynamic legal contexts, the integration of function calling to enhance LLM capabilities, and the need for maintenance and evaluation of AI systems. Additionally, they address when to use AI versus traditional tools, the implications of memory in AI systems, and the importance of transparency and privacy in regulated industries.