Analyze Legal Documents With Gpt & O4 Mini Plus Gmail & Google Sheets 7610 – n8n Workflows – Free Template

What This Workflow Does

The PDF Document Assistant 2.0 is an intelligent automation workflow that processes uploaded PDF documents, extracts their content, and uses artificial intelligence to analyze, answer questions about, and generate insights from the documents. The workflow receives PDF files via a webhook, cleans the extracted text, leverages OpenAI’s advanced language model for intelligent analysis, and can deliver results via email, Google Sheets, or HTTP responses.

How It Works

The workflow follows a streamlined process from document upload to intelligent analysis:

• A webhook receives a POST request containing an uploaded PDF file
• The extractFromFile node extracts all text and data from the PDF document
• A code node pre-processes the extracted content, cleaning formatting, removing line breaks, and filtering out non-text elements
• The AI Agent node serves as the central intelligence hub, managing conversation memory and routing prompts intelligently
• The OpenAI Chat Model node performs deep analysis, reasoning, and text generation based on the cleaned document content
• The Chain LLM node orchestrates multiple language model calls for complex analysis tasks
• Results can be sent via email through Gmail, stored in Google Sheets for record-keeping, or returned immediately via the webhook response

Use Cases

• Contract Analysis: Upload legal documents and ask the AI to extract key clauses, identify risks, summarize terms, and highlight important dates and obligations
• Research Document Processing: Process academic papers, whitepapers, or technical documents to generate summaries, extract key findings, and answer specific research questions
• Invoice and Receipt Management: Upload financial documents to automatically extract invoice numbers, amounts, vendor information, and tax details for accounting purposes
• Compliance Document Review: Analyze policy documents, regulatory filings, and compliance materials to identify potential issues and ensure adherence to standards
• Meeting Minutes and Transcripts: Process meeting notes or transcribed documents to extract action items, decisions, and key discussion points for team distribution

Nodes Used

• Webhook: Entry point that receives PDF uploads via POST request from external applications or users
• Extract from File: Extracts all text and structured data from uploaded PDF documents
• Code: Pre-processes and cleans extracted text by removing formatting artifacts, line breaks, and non-text content
• AI Agent: Central intelligence node that manages conversation context, memory, reasoning chains, and prompt routing
• OpenAI Chat Model (LM Chat): Advanced language model that performs document analysis, question answering, and content generation
• Chain LLM: Orchestrates sequential or parallel language model operations for multi-step analysis tasks
• Gmail: Sends analysis results, summaries, and insights via email to specified recipients
• Google Sheets: Stores extracted data, analysis results, and metadata in spreadsheets for tracking and reporting
• Respond to Webhook: Returns workflow results directly to the requesting application via HTTP response
• Sticky Note: Documentation and workflow annotation node for organizing notes and workflow logic reminders

Prerequisites

• An n8n instance with workflow execution capability
• OpenAI API key and active account with GPT model access
• Gmail account configured with n8n credentials for email delivery (optional, if using email output)
• Google Sheets API enabled with proper authentication (optional, if using spreadsheet storage)
• Basic understanding of n8n workflow structure and node configuration
• Access to test PDF files for workflow validation and testing

Difficulty Level

Intermediate to Advanced. This workflow requires familiarity with n8n’s node system, API authentication with OpenAI and Google services, and understanding of AI agent configuration. Users should be comfortable configuring webhook endpoints, managing API keys, and customizing prompts for specific use cases. Some technical knowledge of data transformation and conditional logic is beneficial for extending the workflow.

This workflow template is shared under the n8n fair-code license. Free to use and modify.