Automate Legal Benchmarking with Google Sheets and LLM Evaluation
This workflow automates the evaluation of legal test cases stored in Google Sheets using various LLMs. It extracts data from PDFs, evaluates outputs with an LLM judge, and logs results back to Google Sheets.
The workflow is designed to streamline the process of benchmarking legal information extraction tasks using large language models (LLMs). It begins by fetching test cases from a Google Sheet, downloads associated PDF documents, and extracts text for evaluation. The workflow leverages OpenRouter to evaluate the accuracy of LLM outputs against the source material, providing a pass/fail decision along with reasoning. Results are appended to a Google Sheet, allowing for easy tracking and analysis. A pause is included to manage API rate limits effectively.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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