AasaanWill is a complex legal-tech platform that I architected and developed to handle the intricacies of Indian will creation laws. The platform processes 25+ different asset types, manages complex inheritance workflows, and generates legally compliant documents through automated systems.
Built with SvelteKit frontend and Ruby on Rails backend, the platform handles sensitive legal data with bank-grade security while maintaining sub-second response times for document generation.
The core challenge was building a system that could dynamically generate legally compliant wills based on complex user inputs while maintaining data integrity and security. This required creating a flexible rule engine that could handle Indian Succession Act requirements across different states and family structures.
I architected a multi-layered validation system with real-time legal compliance checking, automated document assembly, and a sophisticated state management system that could handle partial saves and resume functionality across complex multi-step workflows.
I designed a sophisticated rule engine that processes complex legal requirements in real-time. The system validates user inputs against 25+ asset types (real estate, bank accounts, investments, jewelry, vehicles, etc.) while ensuring compliance with Indian inheritance laws that vary by religion, state, and family structure.
The backend architecture uses a event-driven design pattern with Redis for caching frequently accessed legal templates, PostgreSQL for transactional data, and a custom document assembly engine that generates PDFs with precise legal formatting and digital signatures.
Security was paramount - I implemented AES-256 encryption for all sensitive data, JWT-based authentication with refresh tokens, and comprehensive audit logging that tracks every user action for legal compliance purposes.
The lawyer dashboard was designed to provide a comprehensive review and editing interface. I built a sophisticated document management system that allows lawyers to review and edit wills with proper version control and audit trails. The system maintains a complete history of all changes and provides structured workflows for legal review processes.
I implemented a custom queuing system using Sidekiq that processes document generation requests asynchronously. When a user completes their will, the system automatically assigns it to available lawyers based on workload balancing and expertise matching algorithms.
The preview system renders documents using a custom HTML-to-PDF engine that maintains legal formatting standards. The system provides instant document preview capabilities with proper legal formatting and validation, ensuring accuracy throughout the review process.
Document Review Interface
Version Control System
Automated Document Processing
The platform successfully handles complex legal document generation with 99.9% accuracy in legal compliance validation. My custom caching layer reduced document generation time from 30+ seconds to under 2 seconds, while the event-driven architecture allows the system to process thousands of concurrent will creation sessions.
Indian inheritance laws vary significantly by religion, state, and family structure. Building a system that could validate complex asset distributions while ensuring legal compliance across all scenarios.
Developed a graph-based rule engine with over 500 validation rules. Used PostgreSQL JSON columns for flexible schema design and Redis for caching rule sets. Implemented a decision tree algorithm that processes rules in O(log n) time complexity.
Lawyers needed to review and edit complex legal documents while maintaining proper audit trails and version control for legal compliance requirements.
Built a comprehensive document management system with structured workflows, simple version tracking with sequential numbering, and comprehensive audit logging. Implemented role-based access control and approval workflows for legal compliance.
Generating legally formatted PDF documents with complex layouts, signatures, and formatting requirements in under 2 seconds while handling hundreds of concurrent requests.
Built a custom PDF generation engine using Puppeteer with pre-compiled templates. Implemented background job processing with Sidekiq and Redis queues. Added intelligent caching of document fragments, reducing generation time by 85%.
Let's discuss how I can help you build secure, compliant platforms that handle sensitive data while providing excellent user experiences.