How Do I Redline a Contract With a Desktop AI Assistant?

Open the contract, press Cmd+/ on macOS or Ctrl+/ on Windows, and ask Jarvis (getjarvis.eu) to redline it. Jarvis is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads the agreement on your screen or from Google Docs and Google Drive, then flags risky clauses, missing protections, one-sided terms, and undefined references. It can suggest specific replacement language, compare the draft against a previous version, and explain why a clause matters in plain English. For careful legal reasoning it routes to a frontier model. It is an assistant, not a lawyer, so treat its output as a first pass to review. Tokens are AES-256-GCM encrypted, processing is GDPR-aligned under GDPR and EU AI Act alignment, and your contracts are never used for training. Free to start, then $16/month.

Ask Jarvis to review the contract and it works clause by clause: it flags an uncapped indemnity, an auto-renewal with a long notice window, a unilateral termination right, vague payment timing, or a missing confidentiality or liability cap. It also catches internal inconsistencies, like a defined term used before it is defined or a cross-reference to a section that does not exist. You can scope the pass, telling it to review only the data-protection clauses, or only what is unfavorable to you as the buyer, so the feedback matches your role in the deal.

Beyond flagging, Jarvis proposes concrete edits, alternative wording for a one-sided clause, a fallback position, or a definition to add. If you have the counterparty's previous draft open too, it diffs the two and tells you what they changed since the last round, which is exactly where negotiation risk hides. Because it connects to Google Docs, it can read tracked-change context and help you draft a comment summarizing your positions. This turns a slow manual comparison into a focused list of what moved and what to push back on.

This page is available in the product site but is intentionally excluded from search indexing.

Docs & files