dealfluence/adeu
Agentic DOCX Redlining Engine. Enables LLMs to read Word documents and inject native Track Changes (w:ins, w:del) and Comments without breaking formatting. Includes Model Context Protocol (MCP) Server.
This project helps lawyers, legal professionals, and anyone drafting or reviewing Microsoft Word documents to efficiently incorporate AI-suggested edits. It takes a Word document and AI-proposed changes, then outputs a new Word document with native Track Changes (insertions, deletions, and comments) as if a human made the edits, all without corrupting formatting or complex layouts. The end-user is typically someone who works with contracts, policies, or other critical documents and needs AI assistance in redlining.
Use this if you need an AI to propose precise edits and comments directly into a Microsoft Word .docx file, maintaining all original formatting like images, numbering, and complex layouts.
Not ideal if your workflow doesn't involve Microsoft Word documents or if you primarily need to generate entirely new documents from scratch rather than redline existing ones.
Stars
49
Forks
9
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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