Automated LLM Evaluation for Legal Benchmarking
Evaluates LLMs on legal test cases from Google Sheets using GPT-4 as judge, scoring pass/fail with reasons and logging results back to Sheets.
This n8n workflow automates the benchmarking of large language models (LLMs) on a dataset of legal information extraction tasks. It pulls test cases from a Google Sheet, processes each by retrieving source documents via Google Drive, converting them to text, and submitting the LLM's input/output to a GPT-4.1 'judge' via OpenRouter for evaluation (Pass/Fail + reasoning). Results are appended to an output sheet in real-time, with a 0.5s pause to respect API rate limits.
Key benefits include effor
- Platform
- n8n
- Category
- Development & IT
- Price
- $16.99
- Creator
- Viktor Guerrero
- LLM
- evaluation
- benchmarking
- Google Sheets
- OpenAI
- Google Drive
- AI testing
- analytics
- legal AI
- automation
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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