The vendor is required to provide from qualified vendors to design, develop, and deploy a cross-platform application.
- Provide dedicated project management, software development, testing, and deployment services.
- Expected deliverables
• High-fidelity prototypes
o Finalized interactive designs for all app screens and user interactions.
• Fully functional application
o A complete, ready-to-deploy solution available as both a mobile application and an integrated web platform.
o Includes all front-end and back-end components, ensuring seamless functionality for
both users and staff.
• Comprehensive documentation
o Well-structured readme files, code documentation, and setup instructions for smooth deployment and maintenance.
• Technical architecture
o A detailed blueprint outlining backend technologies, api endpoints, and data flow.
• Developed modules
o Wayfinder system
o AI chatbot
o User profile management
o Notification system
o Admin system (for managing users, content, and settings)
o Rule-changing system (for modifying app rules and configurations dynamically)
• Testing and quality assurance
o Comprehensive functional, UI/UX, and performance testing to ensure a stable and efficient system.
• Deployment and user training
o Full-scale launch with user onboarding guides and training sessions for self-help staff.
- Functional requirements
• SRL profile creation:
o Easy onboarding for users to create accounts and access personalized information.
o Ability to store past interactions and progress.
• Wayfinder feature:
o A visual progress map to guide users step-by-step through the divorce process.
o Overarching view with gradual access to detailed information.
• AI-powered chatbot:
o 24/7 availability for handling inquiries in multiple languages.
o Generative ai trained with legal expertise for instant, accurate responses.
• Notifications and reminders:
o Deadline push notifications to keep users informed about court dates and filings.
• Multilingual support:
o Seamless integration of multiple languages for broader accessibility.
• Self-help user profiles:
o Link to the self-help center for in-person assistance when required
• Data management:
o Secure storage of user information, progress history, and chatbot interactions.
• Rule engine for personalized recommendations:
o A dynamic rule engine to provide recommendations tailored to user input.
o Capable of adjusting guidance based on user-specific legal circumstances.
• Admin section:
o A dedicated admin portal, either native to the app or integrated with existing solutions.
o Admins should be able to modify rule engine rules in response to legal changes.
o No-code interface for easy rule adjustments without technical expertise.
o Testing framework for validating rule modifications before deployment.
o Logging and audit trail for rule changes to ensure compliance and track modifications
- Technical requirements
1) SRL profile creation (technologies mentioned are examples, the technology stack is negotiable)
• User authentication & authorization:
o OAuth 2.0 / OpenID connect (google, apple, etc.) for secure login.
o Role-based access control (RBAC) for different user types (e.g., SRLS, admins).
• Database & storage:
o Relational database (PostgreSQL /MYSQL) for structured user data storage.
o NoSQL (MongoDB / DynamoDB) for flexible and scalable user interaction logs.
• Session management:
o Secure cookie-based or JWT token-based authentication.
o Auto-session timeout for security compliance.
• Cloud storage:
o Encrypted cloud storage (AWS s3, azure blob) for profile documents, progress data.
• Wayfinder feature
• frontend framework:
o REACT.js / next.js with state management for dynamic UI.
• Backend services:
o Node.js / express / NestJS for handling route progression logic.
• Progress tracking:
o IndexedDB / local storage for temporary UI state persistence.
o API-driven progress persistence in the database.
• Visualization
2) Rule execution engine
• Real-time processing:
o Execute rules in real-time to provide immediate recommendations to users.
o Ability to handle both synchronous (instant feedback) and asynchronous (batch processing) rule execution.
• Event-driven execution:
o Trigger rules based on user interactions, chatbot queries, case progression, or external system inputs.
3) Contextual adaptation:
• Rules should adapt based on user history, previous interactions, and legal case status
4) AI-powered chatbot
• AI model selection:
o OpenAI /gpt-4 API fine-tuned with legal data.
o Rasa/nlp.js for local NLP processing with legal intent recognition.
• Multi-language NLP:
o Google cloud translation API / AWS translate for multilingual support.
o Language detection middleware.
• Chatbot backend:
o WebSocket -based real-time interaction.
o Pre-trained question-answering models on legal FAQS.
• Logging & compliance:
o Logging chatbot interactions in a secured database (MongoDB or Firestore).
o GDPR/CCPA compliance with user data retention policies.
• Notifications & reminders
• Push notification services:
o Firebase cloud messaging (FCM) for mobile/web push notifications.
o Twilio SendGrid for email-based notifications.
• Scheduling system:
o CRON jobs in node.js or cloud-based scheduled functions (AWS lambda, azure functions).
• SMS integration:
o Twilio / Vonage API for SMS reminders.
• Multilingual support
• Translation services:
o Dynamic language selection using i18next framework.
o AI-powered real-time translation APIS (google translate/aws).
• User preferences:
o Language preference stored in user profile.
o UI dynamically rendered based on locale selection.
• Self-help user profiles
• Integration with external services:
o API connections with self-help centers.
o Secure OAuth -based authentication for accessing self-help resources.
• Geolocation services:
o Google maps API for finding nearby self-help centers.
• Appointment scheduling:
o Integrated calendar system (google calendar API) for in-person visits.
• Rule management interface
• Administrative UI:
o Interface for legal experts/admins to create, edit, and manage rules without technical expertise.
• Versioning & audit logs:
o Track changes to rules and maintain logs for compliance and debugging.
• Simulation & testing environment:
o Ability to test new rules before deployment to ensure correctness and avoid unintended behavior.
• Case management dashboard
o The case management dashboard can either be built from scratch as a custom application or integrated with an existing system that already provides case tracking and management functionalities.
• Case overview & search
o List of active and closed cases with filtering and sorting options.
o Full-text search to quickly locate cases by keywords, user details, or status.
• Case details view
o Display case summary, progress status, key dates, and associated user interactions.
o View historical activity log for each case.
5. Database management:
• PostgreSQL / MySQL for structured data storage.
• Redis for caching frequently accessed data.
6. Security & compliance:
• Aes-256 encryption for sensitive data.
• End-to-end encryption for chatbot interactions.
• Data anonymization techniques for user privacy.
7. Scalability & redundancy:
• Cloud-based deployment.
• Load balancing using Kubernetes /docker for high availability.
- Questions/Inquires Deadline: May 07, 2025