Draft, review and redline contracts with a legal AI. Explore AI workflows, a built-in document editor, custom playbooks and Microsoft Word support.

AI for redlining supplier contracts
September 21, 2026
Your fallback and walk-away positions go in a playbook. goHeather drafts each redline as a tracked change in the supplier's Word file, and you accept or reject every one.
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How to stop rewriting the same fallback clause every time
September 18, 2026
Playbooks record the position and fallback but rarely the accepted wording, so reviewers redraft it every time. Save the language once you accept it.
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Create DOCX, XLSX and PDF documents from chat in goHeather
September 14, 2026
Ask goHeather chat for a side letter, memo or summary and get a formatted DOCX or PDF back in seconds. Preview and download it, with or without a contract open.
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AI for reviewing vendor agreements
September 14, 2026
Inbound supplier paper needs a first read before anyone signs. Here is how goHeather sets up the review on its own, scores the contract against your playbook, and leaves every decision to you.
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How to review a contract amendment without rereading it all
September 13, 2026
An amendment doesn't need a full reread of the contract, just a current-state record to check it against so first-pass review can clear it fast.
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AI Contract Review for Manufacturing Companies
September 9, 2026
Review supplier agreements, customer contracts and NDAs with goHeather. Spot risks, apply your playbooks and redline directly in Microsoft Wor
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How franchise groups review contracts across brands
September 4, 2026
A multi-brand franchise operator reviews every contract against a standard that changes with the brand. Here is how one playbook per brand fits the review queue.
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How long does AI contract review take?
September 4, 2026
AI reads a contract in minutes. Your turnaround still runs in days, because the elapsed time is mostly waiting, and findings wait on a human decision.
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Your playbook decides what an AI contract review flags
September 4, 2026
One MSA run against five different playbooks came back with 17, 16, 8, 8 and 8 findings. The rules you attach to a review, not the model, decide what gets flagged.
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