This project automates document drafting in government offices, focusing on court orders. The current manual process is slow and prone to errors, especially given the repetitive nature of many government documents. The approach involves developing an agentic system that uses AI to generate JSON schemas from existing court orders, create questionnaires based on these schemas, and draft new documents using the collected data. The system employs four AI agents: Schema Generation Agent, Code Generation Agent, User Interface Agent, and Closeness Checker Agent. These agents work together to automate the process of extracting key information from documents, generating schemas, creating and refining code, interacting with users, and verifying the accuracy of generated documents. By automating these processes, the project seeks to improve efficiency, reduce human error, and maintain consistency with original document styles in government document drafting.