Automated Legal Case Data Collection and Extraction Workflow

This n8n workflow automates the process of collecting, extracting, and analyzing legal case data from online sources. It is designed for legal researchers, analysts, or law firms who need to gather comprehensive case information efficiently. The workflow begins with a manual trigger, allowing users to initiate the process as needed. It uses Bright Data’s MCP (Multichannel Protocol) client to scrape legal case listings from specified URLs, such as court or legal databases.

Once the web page is fetched, the workflow extracts relevant case links and details, then loops through each case URL to scrape detailed content. During each iteration, it uses Bright Data MCP to scrape webpage content, then employs LangChain’s large language models (such as Google Gemini) to parse and structure the HTML content into textual data, making it easier to analyze and interpret.

The processed case data is then compiled into a structured format, saved locally as JSON files, and notifications are sent via webhook with the extracted content. The workflow also leverages OpenAI’s LLMs for additional content processing and formatting. Practical uses include legal research, case law analysis, or monitoring legal developments by automatically scraping and structuring case data from multiple sources.