Natural language processing systems (NLPs) and large language models (LLMs) have the potential to revolutionize hand surgery by streamlining workflows, enhancing patient-care, and advancing research capabilities. NLPs are particularly adept at processing unstructured clinical data, enabling more efficient research, quality improvement initiatives, and patient safety monitoring. LLMs contribute through patient education, real-time clinical decision support, and reducing administrative burdens with automated documentation. However, challenges must be resolved to fully realize their benefits. Overcoming these barriers could pave the way for transformative advancements in hand surgery and health care.