This workflow automates the process of evaluating legal documents stored in Google Drive against specified test cases. Triggered manually or via webhook, it fetches test data from Google Sheets, downloads and extracts PDF content, and uses an AI language model to assess the accuracy, relevance, and completeness of AI-generated responses. The results, including pass/fail decisions and reasoning, are then logged back into Google Sheets for easy review and analysis. This setup is ideal for legal teams and QA processes ensuring AI outputs adhere strictly to source material, thereby enhancing document review accuracy and accountability.
Automated Legal Document Evaluation with AI
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, extractFromFile, googleDrive, googleSheets, httpRequest, if, limit, manualTrigger, merge, set, stickyNote, webhook |
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