Formal English Rewriting Service for Legal Client Communications

Added Jun 2025 3 design docs

Law firms receive client communications in every register: text-message fragments, colloquial emails, and slang-heavy accounts of events. Before those accounts can enter case files, demand letters, or court documents, someone must translate them into precise formal English without altering their meaning, and in legal work a shifted nuance can change a case. That rewriting is skilled, repetitive, and currently absorbs paralegal hours that firms would rather spend elsewhere. The intern builds a web service that automates this conversion with the fidelity the legal domain demands. The service is a Python FastAPI application in which LangChain structures the rewriting pipeline and OpenAI models perform the transformation, converting informal or slang-laden input into formal English while preserving factual content. The intern engineers prompts that explicitly guard against meaning drift, implements a side-by-side response format highlighting what changed so a professional can verify the rewrite, and adds batch endpoints so a firm can process message threads at once. Configurable formality levels let output match different document types. The project demonstrates controlled text transformation, a subtler skill than generation: constraint-focused prompt engineering, meaning-preservation checks, and delivering language AI through a clean, professional-grade FastAPI service.

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