Preparing Contracts and Legal Documents for AI Review
How to prepare contracts for AI-assisted review: clean extraction, clause structure, redaction, and verification.
Keep the structure
Contracts depend on numbered clauses and definitions. Convert with PDF to Markdown to keep headings and numbering intact; plain PDF to Clean Text works for simpler letters.
Useful review prompts
Ask for answers tied to clause numbers:
- List all payment obligations with clause references
- Summarize termination rights for each party
- Flag unusual indemnity or liability terms
- Compare against our standard terms
Limits
Redact names and sensitive figures where policy requires, and treat AI output as a first pass. For long agreements, the Context Compressor can protect defined terms while trimming boilerplate.
Try it free in your browser
- PDF to Clean Text — Strips headers, footers, page numbers, and hyphenation. Outputs TXT or Markdown.
- Context Compressor — Reduce token usage with compression strategies tuned for LLMs.
- PDF to Markdown — Headings, lists, and structure preserved. Perfect for Obsidian, GitHub, RAG, and LLM context.
Tools mentioned
Frequently asked
Can AI review contracts reliably?
It is useful for summarizing and flagging clauses, but a qualified professional should make final judgments.
Why does clause numbering matter?
Numbered clauses let the AI cite exact sections so you can verify each point.
Keep reading
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