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Veridox: AI-Powered Legal Contract Risk Analysis Platform

An AI-powered web application that helps users upload, scan, and analyze legal contract PDFs, identify potential risks, compliance issues, and key clauses, using React for the frontend and Spring Boot for the backend architecture.

AI法律科技合同分析OCRSpring BootReactJWTMongoDB大语言模型
Published 2026-05-24 18:42Recent activity 2026-05-24 18:51Estimated read 6 min
Veridox: AI-Powered Legal Contract Risk Analysis Platform
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Section 01

【Introduction】Veridox: Core Overview of the AI-Powered Legal Contract Risk Analysis Platform

Veridox is an AI-powered web application focused on legal contract risk analysis. Users can upload contracts in PDF format; after text extraction via OCR, large language models are used to identify potential risks, compliance issues, and key clauses. It uses a React frontend + Spring Boot backend architecture, with enterprise-level security design, aiming to help individuals and small businesses reduce legal risks and improve contract review efficiency.

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Section 03

Analysis of Core Features

Security Authentication System

Uses JWT token management based on HttpOnly Cookies, supporting email OTP verification, password reset, and Google OAuth2 third-party login.

AI-Powered Contract Analysis

After uploading a PDF, text is extracted via Tesseract OCR; Gemini/Groq large models are called to perform risk level assessment, jurisdiction compliance checks, and clause parsing.

Smart Dashboard

Supports contract list viewing, risk badge identification, status tracking, and historical data analysis.

Admin Console

Admins can monitor system usage (statistics on number of uploaded files, size, etc.).

Rate Limiting and Quota Management

Regular users have daily upload quota limits; the interface displays a real-time countdown.

Interactive AI Dialogue

Users can have real-time conversations with AI to ask legal questions and get clause summaries.

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Section 04

Technical Architecture and Security Mechanism Design

Frontend Tech Stack

React.js (Vite), React-Bootstrap & Tailwind, Axios, React-Router-DOM, PDF-lib.

Backend Tech Stack

Java 17, Spring Boot 3.x (including Web/Data MongoDB/Security/Mail/OAuth2 modules), Tesseract OCR, Gemini/Groq large model integration.

Database

MongoDB / MongoDB Atlas.

Security Design

  • Stateless session management (JWT for authentication information transmission)
  • XSS protection (token stored in HttpOnly Cookies)
  • CSRF protection (configured via Spring Security)
  • Auto-logout (session destroyed after 30 minutes of inactivity)
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Section 05

Application Scenarios and Practical Value

For individuals and small businesses, the value includes:

  1. Reducing legal risks: Identify potential issues before signing
  2. Improving review efficiency: AI completes preliminary analysis in seconds
  3. Popularizing legal knowledge: Interactive dialogue aids learning
  4. Cost control: Replace expensive full-time legal staff
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Section 06

Technical Highlights and Innovations

  1. Organic combination of OCR and LLM: Tesseract text conversion + LLM semantic analysis
  2. Enterprise-level security practices: Comprehensive protection mechanisms ensure sensitive document security
  3. Modern decoupled frontend-backend: Optimized implementation using mainstream tech stack (React + Spring Boot)
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Section 07

Summary and Future Development Directions

Veridox is a valuable attempt of AI in the legal service field, with solid technology and comprehensive security, suitable for developers to learn. Future expansion directions:

  • Support more document formats
  • Integrate more regional legal databases
  • Provide multi-language support