Use ChatGPT to build a denial appeal with evidence
They used ChatGPT to prepare two appeal packages, one for employment insurance and one for flood damage, and both were ultimately successful.
- What they did
- The poster turned to ChatGPT for help organizing two separate denial challenges. In the employment insurance case, they put together a file with supporting proof, legal references, and labeled image evidence, then submitted the appeal. For the flood loss dispute, they had ChatGPT draft an email that laid out the facts and relevant legal points after the insurer first refused to come look.
- How it went
- Both matters ended in their favor. The employment insurance case paid out $8,500, while the home-insurance dispute led to a review, an apology, and roughly $15,000 to $20,000 in repair coverage.
- Tips
- This works best when you already have your documents and can verify any legal details yourself. The workflow can be awkward because the writing, citations, and evidence handling are split across ChatGPT, legal sites, and a separate editor.
Try it yourself with ChatGPT
Help me write an appeal for [company, insurer, or agency] about [denied claim, rejected benefit, or refused inspection]. I’ll paste the denial, my policy or eligibility details, and the evidence I want to rely on: [paste details]. Draft a concise, respectful appeal that answers each reason given for the decision, ties each point to a specific piece of evidence, and asks for [the result I want]. Also list the files I should attach and any deadline I need to confirm. Before I send anything, stop and ask me to review and approve the final version.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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