Benchmark LLM Performance on Legal Docs with Sheets & OpenRouter

This n8n workflow enables comprehensive benchmarking of multiple Large Language Models (LLMs) on legal document information extraction tasks. It pulls test cases from a Google Sheet, processes them in parallel (2 requests per second) to avoid sequential delays, retrieves source documents from Google Drive, converts them to text, and sends prompts to LLMs via OpenRouter for easy model swapping. Results are automatically logged back to Google Sheets for analysis. Key benefits include significant