ZServed Technical Architecture

Comprehensive technical architecture documentation for ZServed’s cloud-native legal technology platform built on Cloudflare’s edge infrastructure.

Architecture Overview

ZServed leverages Cloudflare’s Workers for Platforms architecture to provide a highly scalable, globally distributed legal technology platform with complete tenant isolation and enterprise-grade security.

Core Technology Stack

Frontend Technologies:

Astro: Modern web framework with server-side rendering and static generation
TypeScript: Type-safe development with enhanced developer experience
Tailwind CSS: Utility-first CSS framework for responsive design
Web3 Integration: OnchainKit and Coinbase Wallet for blockchain connectivity

Backend Infrastructure:

Cloudflare Workers: Serverless compute at the edge with global distribution
Cloudflare D1: SQLite-based database with automatic scaling and replication
Cloudflare R2: S3-compatible object storage for file and document management
Cloudflare KV: Key-value storage for caching and session management
Cloudflare Vectorize: Vector database for AI and semantic search capabilities

AI and Machine Learning:

OpenAI GPT Models: Advanced language models for legal AI assistance
Anthropic Claude: Alternative AI models for professional legal guidance
Custom Legal AI Models: Specialized models trained on legal domain data
Vector Embeddings: Semantic search and document analysis capabilities

Platform Architecture Patterns

1. Multi-Tenant Architecture

Complete Tenant Isolation:

┌─────────────────────────────────────────────────────────┐
│                    Law Firm CRM Isolation               │
├─────────────────────────────────────────────────────────┤
│  Tenant A (Law Firm)     │  Tenant B (Law Firm)        │
│  ┌─────────────────────┐ │  ┌─────────────────────┐     │
│  │ Dedicated Worker    │ │  │ Dedicated Worker    │     │
│  │ Isolated Database   │ │  │ Isolated Database   │     │
│  │ Separate R2 Bucket  │ │  │ Separate R2 Bucket  │     │
│  │ Private KV Space    │ │  │ Private KV Space    │     │
│  │ Custom Domain       │ │  │ Custom Domain       │     │
│  └─────────────────────┘ │  └─────────────────────┘     │
└─────────────────────────────────────────────────────────┘

Tenant Isolation Benefits:

Complete Data Separation: Physical separation prevents cross-tenant data access
Independent Scaling: Each tenant scales independently based on usage
Custom Configuration: Tenant-specific configurations and customizations
Security Isolation: Enhanced security through physical tenant boundaries

2. Edge-First Architecture

Global Edge Distribution:

┌─────────────────────────────────────────────────────────┐
│                 Cloudflare Edge Network                 │
├─────────────────────────────────────────────────────────┤
│  US West Coast    │  US East Coast   │  Europe         │
│  ┌─────────────┐  │  ┌─────────────┐ │  ┌─────────────┐ │
│  │ Workers     │  │  │ Workers     │ │  │ Workers     │ │
│  │ D1 Replica  │  │  │ D1 Primary  │ │  │ D1 Replica  │ │
│  │ R2 Cache    │  │  │ R2 Primary  │ │  │ R2 Cache    │ │
│  │ KV Cache    │  │  │ KV Primary  │ │  │ KV Cache    │ │
│  └─────────────┘  │  └─────────────┘ │  └─────────────┘ │
└─────────────────────────────────────────────────────────┘

Edge Performance Benefits:

Sub-50ms Response Times: Edge computing providing ultra-low latency
Global Scalability: Automatic scaling across Cloudflare’s global network
High Availability: 99.9% uptime with automatic failover and redundancy
DDoS Protection: Built-in DDoS protection and security at edge level

3. Microservices Architecture

Service Decomposition:

┌─────────────────────────────────────────────────────────┐
│                    Service Architecture                 │
├─────────────────────────────────────────────────────────┤
│  Authentication     │  Document Mgmt   │  AI Services   │
│  ┌─────────────┐    │  ┌─────────────┐ │  ┌─────────────┐│
│  │ JWT Service │    │  │ File Upload │ │  │ OpenAI API  ││
│  │ OAuth Flow  │    │  │ Version Ctrl│ │  │ Claude API  ││
│  │ Session Mgmt│    │  │ Annotations │ │  │ Vector DB   ││
│  └─────────────┘    │  └─────────────┘ │  └─────────────┘│
├─────────────────────────────────────────────────────────┤
│  Workflow Engine    │  Communication   │  Audit Logging │
│  ┌─────────────┐    │  ┌─────────────┐ │  ┌─────────────┐│
│  │ Job Queue   │    │  │ Email Svc   │ │  │ Event Log   ││
│  │ State Mgmt  │    │  │ Notifications│ │  │ Compliance  ││
│  │ Automation  │    │  │ Chat Portal │ │  │ Analytics   ││
│  └─────────────┘    │  └─────────────┘ │  └─────────────┘│
└─────────────────────────────────────────────────────────┘

Data Architecture and Storage

1. Database Design

D1 SQLite Schema:

-- Core tenant and user management
CREATE TABLE tenants (
  id TEXT PRIMARY KEY,
  name TEXT NOT NULL,
  slug TEXT UNIQUE NOT NULL,
  settings TEXT DEFAULT '{}',
  created_at INTEGER DEFAULT (unixepoch()),
  updated_at INTEGER DEFAULT (unixepoch())
);

-- User management with role-based access
CREATE TABLE users (
  id TEXT PRIMARY KEY,
  email TEXT UNIQUE NOT NULL,
  name TEXT NOT NULL,
  role TEXT CHECK (role IN ('admin', 'lawyer', 'process_server', 'client')),
  tenant_id TEXT REFERENCES tenants(id),
  settings TEXT DEFAULT '{}',
  created_at INTEGER DEFAULT (unixepoch())
);

-- Document and file management
CREATE TABLE files (
  id TEXT PRIMARY KEY,
  name TEXT NOT NULL,
  type TEXT NOT NULL,
  size INTEGER NOT NULL,
  tenant_id TEXT REFERENCES tenants(id),
  uploaded_by TEXT REFERENCES users(id),
  r2_key TEXT NOT NULL,
  metadata TEXT DEFAULT '{}',
  created_at INTEGER DEFAULT (unixepoch())
);

-- Job and workflow management
CREATE TABLE jobs (
  id TEXT PRIMARY KEY,
  title TEXT NOT NULL,
  status TEXT DEFAULT 'pending',
  tenant_id TEXT REFERENCES tenants(id),
  assigned_to TEXT REFERENCES users(id),
  client_id TEXT REFERENCES users(id),
  metadata TEXT DEFAULT '{}',
  created_at INTEGER DEFAULT (unixepoch()),
  updated_at INTEGER DEFAULT (unixepoch())
);

2. File Storage Architecture

R2 Object Storage Pattern:

bucket-structure/
├── tenants/
│   ├── {tenant-id}/
│   │   ├── documents/
│   │   │   ├── {file-id}.pdf
│   │   │   └── {file-id}.docx
│   │   ├── templates/
│   │   │   ├── court-forms/
│   │   │   └── client-agreements/
│   │   └── exports/
│   │       ├── data-exports/
│   │       └── compliance-reports/
│   └── shared/
│       ├── legal-templates/
│       └── compliance-docs/
└── system/
    ├── ai-models/
    ├── backups/
    └── audit-logs/

File Management Features:

Version Control: Automatic versioning with complete history tracking
Access Control: Granular access control based on user roles and permissions
Encryption: End-to-end encryption for all stored files and documents
Audit Trail: Comprehensive audit trail for all file access and modifications

3. Caching and Performance

KV Storage Patterns:

// Session management
const sessionKey = `session:${userId}:${sessionId}`;
await KV.put(sessionKey, sessionData, { expirationTtl: 3600 });

// Cache frequently accessed data
const cacheKey = `tenant:${tenantId}:settings`;
await KV.put(cacheKey, tenantSettings, { expirationTtl: 900 });

// Rate limiting
const rateLimitKey = `rate:${clientIP}:${endpoint}`;
const requests = await KV.get(rateLimitKey) || 0;

AI and Machine Learning Architecture

1. AI Service Integration

Multi-Provider AI Architecture:

┌─────────────────────────────────────────────────────────┐
│                   AI Service Layer                     │
├─────────────────────────────────────────────────────────┤
│  OpenAI GPT-4     │  Anthropic Claude │  Custom Models │
│  ┌─────────────┐  │  ┌─────────────┐   │ ┌─────────────┐│
│  │ Legal Chat  │  │  │ Document    │   │ │ Legal NER   ││
│  │ Summarize   │  │  │ Review      │   │ │ Classification│
│  │ Extract     │  │  │ Compliance  │   │ │ Similarity  ││
│  └─────────────┘  │  └─────────────┘   │ └─────────────┘│
├─────────────────────────────────────────────────────────┤
│                 Vector Database (Vectorize)            │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ Legal Documents │ Case Law │ Client Data │ Templates│ │
│  └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘

AI Features and Capabilities:

Legal Document Analysis: AI-powered analysis of legal documents and contracts
Case Summarization: Intelligent summarization of case law and legal research
Client Communication: AI-assisted client communication and response generation
Compliance Monitoring: Automated compliance monitoring and alert systems

2. Vector Database Implementation

Vectorize Integration:

// Document embedding and storage
const embeddings = await generateEmbeddings(documentText);
await vectorDB.insert({
  id: documentId,
  vector: embeddings,
  metadata: {
    tenantId,
    documentType,
    createdAt: Date.now()
  }
});

// Semantic search
const queryEmbedding = await generateEmbeddings(searchQuery);
const results = await vectorDB.query({
  vector: queryEmbedding,
  topK: 10,
  filter: { tenantId: currentTenant }
});

Security and Compliance Architecture

1. Security Framework

Multi-Layer Security Model:

┌─────────────────────────────────────────────────────────┐
│                    Security Layers                     │
├─────────────────────────────────────────────────────────┤
│  Edge Security (Cloudflare)                            │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ DDoS Protection │ WAF │ Bot Management │ SSL/TLS    │ │
│  └─────────────────────────────────────────────────────┘ │
├─────────────────────────────────────────────────────────┤
│  Application Security                                   │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ JWT Auth │ RBAC │ Input Validation │ Rate Limiting  │ │
│  └─────────────────────────────────────────────────────┘ │
├─────────────────────────────────────────────────────────┤
│  Data Security                                          │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ Encryption │ Tenant Isolation │ Audit Logs │ Backup│ │
│  └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘

2. Compliance and Audit Systems

Audit Trail Architecture:

// Comprehensive audit logging
const auditEvent = {
  eventType: 'DOCUMENT_ACCESS',
  userId: currentUser.id,
  tenantId: currentTenant.id,
  resourceId: documentId,
  action: 'READ',
  metadata: {
    clientIP: request.headers.get('cf-connecting-ip'),
    userAgent: request.headers.get('user-agent'),
    timestamp: Date.now()
  }
};

await auditLogger.log(auditEvent);

Integration and API Architecture

1. RESTful API Design

API Structure:

/api/v1/
├── auth/
│   ├── login
│   ├── logout
│   └── refresh
├── tenants/
│   ├── {tenantId}/settings
│   └── {tenantId}/users
├── documents/
│   ├── upload
│   ├── {documentId}/download
│   └── {documentId}/versions
├── jobs/
│   ├── create
│   ├── {jobId}/update
│   └── {jobId}/comments
└── ai/
    ├── chat
    ├── summarize
    └── analyze

2. WebSocket Real-Time Features

Real-Time Communication:

// WebSocket connection for real-time updates
const wsHandler = {
  async message(ws, message) {
    const { type, data } = JSON.parse(message);

    switch (type) {
      case 'JOB_UPDATE':
        await broadcastToTenant(data.tenantId, {
          type: 'JOB_STATUS_CHANGED',
          jobId: data.jobId,
          newStatus: data.status
        });
        break;

      case 'CHAT_MESSAGE':
        await deliverMessage(data.recipientId, data.message);
        break;
    }
  }
};

Development and Deployment Architecture

1. CI/CD Pipeline

Deployment Workflow:

name: Deploy ZServed Platform
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
      - name: Install dependencies
        run: npm ci
      - name: Build application
        run: npm run build
      - name: Deploy to Cloudflare
        run: wrangler deploy
        env:
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

2. Monitoring and Observability

Monitoring Stack:

┌─────────────────────────────────────────────────────────┐
│                   Monitoring & Observability           │
├─────────────────────────────────────────────────────────┤
│  Cloudflare Analytics                                   │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ Request Metrics │ Error Rates │ Performance Data   │ │
│  └─────────────────────────────────────────────────────┘ │
├─────────────────────────────────────────────────────────┤
│  Application Monitoring                                 │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ Custom Metrics │ User Analytics │ Business KPIs    │ │
│  └─────────────────────────────────────────────────────┘ │
├─────────────────────────────────────────────────────────┤
│  Security Monitoring                                    │
│  ┌─────────────────────────────────────────────────────┐ │
│  │ Audit Logs │ Security Events │ Compliance Reports  │ │
│  └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘

Performance and Scalability

1. Performance Optimization

Optimization Strategies:

Edge Caching: Intelligent caching at Cloudflare edge locations
Database Optimization: Optimized queries and connection pooling
Asset Optimization: Compressed and optimized static assets
Lazy Loading: Dynamic loading of application components

2. Scalability Patterns

Auto-Scaling Architecture:

Horizontal Scaling: Automatic scaling across Cloudflare’s global network
Database Scaling: D1 automatic scaling and read replicas
Storage Scaling: R2 unlimited storage with global distribution
AI Scaling: Distributed AI processing with fallback providers

This Technical Architecture provides the foundation for ZServed’s scalable, secure, and globally distributed legal technology platform.

Architecture Review: [Technical Architecture Committee]
Security Review: [Security and Compliance Team]
Performance Validation: [Platform Engineering Team]
Documentation: [Technical Documentation Team]

For complete technical specifications, see the full Technical Architecture documentation (15+ pages).