Can AI Read a Contract PDF Open on My Screen?

Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads the contract PDF currently open in Preview, Adobe Acrobat, or your browser and summarizes clauses, flags risky terms, and answers "what is my notice period?" without uploading the file anywhere you choose to keep private. Press Cmd+/ (macOS) or Ctrl+/ (Windows) over the page and ask. Jarvis captures the visible text and routes it to a frontier model, which is strong at long legal prose, or a long-context model for very long documents. It can pull the auto-renewal date, payment terms, liability cap, and termination triggers, then drop a summary into Notion or Google Docs via its connectors. It is not legal advice and cannot replace a lawyer. A free plan (40 requests/week) lets you try it; the Pro plan is $16/month.

Most PDF tools force you to upload a file and lose your place. Jarvis reads the page rendered on screen, so it works whether the contract is in macOS Preview, Acrobat Reader, a Google Drive viewer tab, or an email attachment preview. Trigger the floating bar and ask plain questions: "summarize the indemnification clause," "what triggers early termination," "is there an auto-renewal." a frontier model handles dense, cross-referenced legal language well, tracking defined terms back to their definitions. For a 90-page master services agreement, a frontier model's long context keeps the whole document coherent in one pass.

Once Jarvis has parsed the contract on screen, its 30+ connectors let it do something useful with the answer. It can create a Google Calendar reminder before the cancellation window closes, write a clause-by-clause summary into a Notion page or Google Doc, or draft a Gmail to counsel listing the three terms you want changed. Persistent, user-controlled memory means it can remember which vendor this contract is with so a follow-up question next week has context. You stay in control of what is stored and can clear it. Tokens are encrypted with AES-256-GCM at rest.

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Screen-aware AI