LegalDocInsight

AI-powered legal document analysis platform built using a microservices architecture.

LegalDocInsight allows users to upload legal documents and automatically extract, process, and analyze the content using AI-powered services.

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🚀 Features

• Upload legal documents (PDF, DOCX)
• Automatic text extraction using Apache Tika
• Microservices-based document processing
• Secure API routing via API Gateway
• AI-powered legal analysis pipeline
• Scalable architecture for large document processing

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🏗 Architecture

Frontend (Angular)
        |
        v
   API Gateway
        |
        v
+------------------+
| Document Service |
+------------------+
        |
Extract Text (Apache Tika)
        |
        v
+------------------+
| Analysis Service |
+------------------+
        |
   AI / LLM Engine
        |
        v
   Analysis Results

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⚙️ Tech Stack

Backend

• Java
• Spring Boot
• Spring Cloud Gateway
• WebClient (service-to-service communication)
• Apache Tika (document parsing)

Frontend

• Angular
• SCSS

Security

• JWT Authentication

Database

• H2 (development)
• PostgreSQL (production ready)

AI Processing

• LLM integration for legal document analysis

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📂 Project Structure

LegalDocInsight
│
├── backend
│   ├── api-gateway
│   ├── document-service
│   └── analysis-service
│
└── frontend
    └── Angular Application

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🔄 Document Processing Flow

1️⃣ User uploads document from frontend

2️⃣ Request passes through API Gateway

3️⃣ Document Service

• stores the document
• extracts text using Apache Tika

4️⃣ Extracted text sent to Analysis Service

5️⃣ Analysis Service processes document using AI pipeline

6️⃣ Results returned to frontend

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📄 Example Workflow

Upload Document
      |
      v
Extract Text
      |
      v
Analyze Document
      |
      v
Generate Summary / Insights

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🧠 Future Improvements

• LLM-based clause extraction
• Legal risk detection
• Semantic search using vector databases
• Asynchronous processing using Kafka
• Document versioning
• Role-based access control

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▶️ Running the Project

Start Backend Services

cd backend
mvn clean install

Run services individually:

api-gateway
document-service
analysis-service

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Start Frontend

cd frontend
npm install
ng serve

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📌 Learning Goals

This project demonstrates:

• Microservices architecture
• API Gateway pattern
• Document processing pipelines
• AI integration with backend systems
• Service-to-service communication

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⭐ Why This Project Matters

LegalDocInsight showcases how AI systems can be integrated with backend microservices to build scalable document intelligence platforms.

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🔗 Future AI Enhancements

• Document summarization
• Clause extraction
• Legal risk detection
• Contract comparison
• AI-powered Q&A over legal documents