The Congressional Research Service (CRS) revealed that less than 3% of the 3,000 AI-generated bill summaries met its accuracy standards, exposing a fundamental challenge as lawmakers push the agency to adopt artificial intelligence tools. The House Administration Committee held a hearing on Thursday, June 25, and CRS Director Karen Donfried warned that AI cannot yet replace human expertise in legislative analysis. For two years, CRS tested six different large language models, generating 3,000 AI-created bill summaries, with less than 3% meeting CRS standards for accuracy, coherence, relevance, and objectivity. CRS requested a 1.6 million dollar budget increase for fiscal year 2027, including five permanent staff members with data science and AI development experience. The agency plans a 12-month evaluation in fiscal 2027 to compare five AI tools: ChatGPT, Claude, Google AI, Perplexity, and MS Copilot. Donfried testified that CRS is pursuing a cautious path, stating: "Through the responsible use of AI, CRS will strive to benefit from what AI tools can do best to provide even better support to you. Chatbots may provide you with the fastest answer to a question you have; CRS will provide you with the answer you can trust."