ALP AI-SDLC Knowledge Base
Overview
This knowledge base provides comprehensive documentation for the AI-Enhanced Software Development Lifecycle (AI-SDLC) in the ALP (Australian Legal Practice) project. It serves as a central repository for developers, project managers, and legal professionals working on AI-enhanced legal practice management features.
🎨 Frontend UI Standards - CRITICAL
IMPORTANT: All new frontend development must follow the shadcn-vue UI framework standard established in this project.
shadcn-vue Framework Requirements
- Package: shadcn-vue@0.8.5 installed and configured
- Components: Located in
@/lib/registry/new-york/ui/ - Global Registration: Components registered in
global-components.tswithshad-prefix - Styling: Tailwind CSS with custom design system
- Accessibility: WCAG 2.1 AA compliance through Radix Vue primitives
Available Components
// Core UI Components (shadcn-vue)
- Button, Input, Label, Checkbox, Switch
- Card, CardHeader, CardContent, CardDescription, CardTitle
- Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger
- Badge, Avatar, Calendar, Select, Form components
- DropdownMenu, Popover, Command, Sheet
- DataTable, ScrollArea, HoverCardUsage Standards
<!-- Correct shadcn-vue usage pattern -->
<template>
<Card>
<CardHeader>
<CardTitle>Component Title</CardTitle>
<CardDescription>Component description</CardDescription>
</CardHeader>
<CardContent>
<Button variant="outline" size="sm">
Action Button
</Button>
</CardContent>
</Card>
</template>
<script setup lang="ts">
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle
} from "@/lib/registry/new-york/ui/card";
import { Button } from "@/lib/registry/new-york/ui/button";
</script>Component Naming Convention
// Use shad- prefix for shadcn-vue components
.component("shad-button", Button)
.component("shad-input", Input)
.component("shad-card", Card)Usage Pattern:
<shad-button variant="outline" size="sm">
Click me
</shad-button>
<shad-card>
<shad-card-header>
<shad-card-title>Title</shad-card-title>
</shad-card-header>
</shad-card>Table of Contents
- Quick Start Guides
- AI Features Status
- Development Guidelines
- Testing Strategy
- Security and Compliance
- Monitoring and Observability
- Success Metrics
- Support and Resources
Quick Start Guides
For Developers
Getting Started with shadcn-vue
- Installation: shadcn-vue@0.8.5 is already installed
- Component Usage: Import components from
@/lib/registry/new-york/ui/ - Global Registration: Components are registered with
shad-prefix - Styling: Use Tailwind CSS classes for custom styling
- Accessibility: All components include built-in accessibility features
Example Component
<template>
<Card>
<CardHeader>
<CardTitle>My Component</CardTitle>
<CardDescription>Component description</CardDescription>
</CardHeader>
<CardContent>
<Button variant="outline" size="sm">
Action
</Button>
</CardContent>
</Card>
</template>
<script setup lang="ts">
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle
} from "@/lib/registry/new-york/ui/card";
import { Button } from "@/lib/registry/new-york/ui/button";
</script>AI Integration
- OpenAI Service: Use
OpenAIServicefor AI operations - Error Handling: Implement circuit breaker pattern
- Security: Anonymize data before AI processing
- Monitoring: Log all AI operations for audit
For Project Managers
Project Overview
- Technology Stack: ASP.NET Core 8.0 + Vue 3 + shadcn-vue + PostgreSQL
- AI Integration: OpenAI GPT-4 for content analysis and summarization
- UI Framework: shadcn-vue for consistent, accessible UI components
- Development Status: Core features implemented, AI enhancements in progress
Key Milestones
- ✅ Email Summarization: OpenAI integration completed
- ✅ Pinned Projects: Project pinning functionality completed
- ✅ shadcn-vue UI Framework: Complete UI component library integration
- 🚧 AI-Enhanced Testing: In development
- 📋 Legal Document Review: Planned for Q2 2024
Success Metrics
- User Productivity: 20% improvement target
- AI Accuracy: >90% accuracy for AI responses
- System Performance: <2 second response time
- User Adoption: >80% feature adoption rate
For Legal Professionals
Available AI Features
- Email Summarization: Quick understanding of lengthy emails
- Document Analysis: AI-powered document review and insights
- Time Entry Automation: AI-assisted time tracking
- Client Communication: AI response suggestions
UI Standards
- Consistent Design: All interfaces follow shadcn-vue design patterns
- Accessibility: WCAG 2.1 AA compliance for all users
- Responsive Design: Works across desktop, tablet, and mobile devices
- Professional Appearance: Modern, clean interface suitable for legal practice
AI Features Status
✅ Implemented Features
1. Email Summarization
- Status: Production Ready
- Technology: OpenAI GPT-4
- UI Components: shadcn-vue Card, Button, Badge
- API Endpoint:
GET /api/emails/{id}/summaryEmailViaOpenAI - Features:
- AI-powered email content summarization
- Data anonymization for privacy
- Error handling with graceful degradation
- Audit logging for compliance
2. Pinned Projects
- Status: Production Ready
- Technology: Vue 3 + shadcn-vue + Vuex
- UI Components: shadcn-vue Card, Badge, Button
- Features:
- Project pinning for quick access
- Dashboard integration
- Real-time updates
- Responsive design
3. shadcn-vue UI Framework
- Status: Production Ready
- Package: shadcn-vue@0.8.5
- Components: Complete UI component library
- Features:
- 40+ pre-built components
- WCAG 2.1 AA accessibility compliance
- Tailwind CSS styling
- TypeScript support
- Radix Vue primitives
4. Document Processing
- Status: Production Ready
- Technology: Apache Tika
- Features:
- Multi-format document support
- Content extraction
- Metadata processing
- Secure document handling
🚧 In Progress Features
1. AI-Enhanced Testing
- Status: Development in Progress
- Timeline: 2-4 weeks
- Features:
- AI-powered test case generation
- Automated scenario testing
- Performance testing automation
- Security testing enhancement
2. AI Security Validation
- Status: Planning Phase
- Timeline: 1-2 months
- Features:
- Enhanced content validation
- Security threat detection
- Compliance monitoring
- Risk assessment automation
📋 Planned Features
1. Legal Document Review
- Priority: High
- Timeline: 2-3 months
- UI Components: shadcn-vue Document viewer, Card, Badge, Progress
- Features:
- AI-powered document analysis
- Contract clause identification
- Risk assessment automation
- Legal compliance checking
2. Time Entry Automation
- Priority: Medium
- Timeline: 3-4 months
- UI Components: shadcn-vue Form, DataTable, Calendar
- Features:
- AI-assisted time tracking
- Activity classification
- Automatic time entry suggestions
- Integration with billing system
3. Client Portal AI
- Priority: Medium
- Timeline: 4-6 months
- UI Components: shadcn-vue Dialog, Form, Chat, Card
- Features:
- Intelligent client interaction
- Automated response generation
- Client query classification
- Conversation management
Development Guidelines
Frontend Development Standards
🎨 shadcn-vue UI Framework Requirements
Mandatory: All new frontend development must use shadcn-vue components as the primary UI framework.
Component Usage Standards:
<!-- Correct shadcn-vue usage pattern -->
<template>
<Card>
<CardHeader>
<CardTitle>Component Title</CardTitle>
<CardDescription>Component description</CardDescription>
</CardHeader>
<CardContent>
<Button variant="outline" size="sm">
Action Button
</Button>
</CardContent>
</Card>
</template>
<script setup lang="ts">
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle
} from "@/lib/registry/new-york/ui/card";
import { Button } from "@/lib/registry/new-york/ui/button";
</script>Available Components:
- Button, Input, Label, Checkbox, Switch
- Card, CardHeader, CardContent, CardDescription, CardTitle
- Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger
- Badge, Avatar, Calendar, Select, Form components
- DropdownMenu, Popover, Command, Sheet
- DataTable, ScrollArea, HoverCard
Naming Convention:
// Use shad- prefix for shadcn-vue components
.component("shad-button", Button)
.component("shad-input", Input)
.component("shad-card", Card)Responsive Design Standards
- Framework: Tailwind CSS with responsive utilities
- Breakpoints: sm (640px), md (768px), lg (1024px), xl (1280px), 2xl (1536px)
- Mobile-first approach with progressive enhancement
- Touch-friendly interactions for mobile devices
Accessibility Standards
- WCAG 2.1 AA compliance with Radix Vue primitives
- ARIA attributes automatically handled by shadcn-vue components
- Keyboard navigation support
- Screen reader compatibility
- Color contrast compliance
Backend Development Standards
- C# Coding Standards: Follow Microsoft C# coding conventions
- API Design: RESTful API design with proper HTTP status codes
- Error Handling: Comprehensive error handling with proper logging
- Security: Input validation, authentication, and authorization
- Performance: Optimized database queries and caching strategies
AI Integration Standards
- Service Abstraction: Abstract AI services behind interfaces
- Error Handling: Graceful degradation when AI services are unavailable
- Security: Data anonymization and validation before AI processing
- Monitoring: Comprehensive logging and monitoring of AI operations
- Compliance: Legal and ethical compliance for AI usage
Testing Strategy
Unit Testing
- Backend: xUnit with Moq for mocking
- Frontend: Vitest with Vue Test Utils
- AI Services: Mock AI responses for testing
- Coverage: Minimum 80% code coverage
Integration Testing
- API Testing: Test API endpoints with real database
- AI Integration: Test AI service integration
- Database Testing: Test database operations and migrations
- UI Testing: Test shadcn-vue component integration
AI-Enhanced Testing
- Test Case Generation: Use AI to generate test cases
- Scenario Testing: Test AI-generated scenarios
- Performance Testing: Test AI service performance
- Security Testing: Test AI service security
End-to-End Testing
- Cypress: End-to-end testing with Cypress
- User Flows: Test complete user workflows
- AI Features: Test AI-enhanced features
- Cross-browser Testing: Test across different browsers
Security and Compliance
Data Security
- Encryption: AES-256 encryption at rest and TLS 1.3 in transit
- Access Control: Role-based access control (RBAC)
- Audit Logging: Comprehensive audit trails
- Data Retention: Configurable data retention policies
AI Security
- Data Anonymization: Anonymize data before AI processing
- Content Validation: Validate AI-generated content
- Access Control: Control access to AI features
- Audit Logging: Log all AI operations
Legal Compliance
- Legal Compliance: Compliance with legal industry requirements
- Data Privacy: GDPR and privacy law compliance
- AI Ethics: Ethical AI usage guidelines
- Audit Requirements: Audit trail and reporting
Monitoring and Observability
Application Monitoring
- Performance Monitoring: Application performance metrics
- Error Tracking: Error tracking and alerting
- User Analytics: User behavior and usage analytics
- AI Monitoring: AI service performance and usage
AI Service Monitoring
- OpenAI Monitoring: OpenAI API usage and performance
- Tika Service Monitoring: Document processing performance
- Error Tracking: AI service error tracking
- Cost Monitoring: AI service cost tracking
Logging Strategy
- Structured Logging: Structured logging with correlation IDs
- AI Operation Logging: Log all AI operations
- Security Logging: Security event logging
- Performance Logging: Performance metric logging
Success Metrics
Technical Metrics
- Performance: Application response time < 2 seconds
- Reliability: 99.9% uptime
- Security: Zero security vulnerabilities
- Code Quality: 80%+ test coverage
AI Metrics
- Accuracy: AI response accuracy > 90%
- Performance: AI response time < 5 seconds
- Cost: AI service costs within budget
- Usage: AI feature adoption rate > 60%
User Metrics
- User Satisfaction: User satisfaction score > 4.5/5
- Productivity: 20% improvement in user productivity
- Adoption: 80% feature adoption rate
- Support: 50% reduction in support tickets
Business Metrics
- Efficiency: 30% improvement in legal practice efficiency
- Cost Savings: 25% reduction in operational costs
- Client Satisfaction: Improved client satisfaction scores
- Compliance: 100% compliance with legal requirements
Support and Resources
Documentation
- API Documentation: Swagger/OpenAPI documentation
- Component Documentation: Storybook for UI components
- User Guides: Step-by-step user guides
- Video Tutorials: Video tutorials for complex workflows
Training Resources
- shadcn-vue Training: Component library usage training
- AI Integration Training: AI service integration training
- Security Training: Security and compliance training
- Best Practices: Development best practices
Support Channels
- Technical Support: Developer support for technical issues
- User Support: End-user support for feature usage
- AI Support: AI feature support and troubleshooting
- Compliance Support: Legal compliance support
Contribution Guidelines
- Code Standards: Follow established coding standards
- UI Standards: Use shadcn-vue components for all UI development
- Review Process: Code review and approval process
- Documentation: Documentation requirements for contributions
Conclusion
This knowledge base provides comprehensive documentation for the AI-SDLC in the ALP project. Key highlights include:
- shadcn-vue UI Standards: All frontend development must follow shadcn-vue patterns for consistency and accessibility
- AI Integration: Thoughtful integration of AI capabilities to enhance rather than replace human expertise
- Security and Compliance: Robust security measures and legal compliance
- Quality Assurance: Comprehensive testing and quality standards
- Monitoring and Observability: Continuous monitoring and improvement
Important Note for Frontend Development: All new frontend development must follow the shadcn-vue UI standard established in this project. This ensures consistency, accessibility, and maintainability across the application. The shadcn-vue framework is fully integrated and provides all necessary components for building modern, professional legal practice management interfaces.
Regular updates to this knowledge base will ensure that documentation remains current and useful for all stakeholders.
