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JusAsk AI Legal Assistant
Client Overview
The Law Society of Singapore (LawSoc) is the professional association for Singapore's legal practitioners. With over 7,000 members, LawSoc faced significant challenges in efficiently addressing member inquiries, often requiring days for their departments to respond to individual questions.
Challenge
LawSoc needed a solution to:
- Provide immediate, accurate responses to member inquiries across multiple platforms
- Reduce response time from days to seconds
- Handle sensitive legal information securely while ensuring data privacy compliance
- Integrate seamlessly with their existing website and offer mobile access
- Scale to support their growing membership base
Solution: JusAsk
A comprehensive GenAI legal assistant deployed across three platforms:
- Web-based chatbot embedded in LawSoc's WordPress website
- iOS native application built with Swift
- Android native application built with Kotlin

iOS Application

Key Features
Technical Features
- Multi-platform availability
- Intelligent response system (80-90% accuracy)
- Rapid response times (8-10 seconds average)
- AES-256 encryption with Singapore-based AWS hosting
- Real-time analytics dashboard

Implementation Process
Phase 1: Discovery & Design
Comprehensive analysis of data sources including:
- WordPress website content
- Microsoft 365 email systems
- Members Library with sensitive information
- Ethics resources sections
Phase 2: Development & Training
- Core AI system powered by Gemini 2.0
- Secure data ingestion pipeline
- Advanced data masking
- Vector database implementation
Results & Impact
852
Total Conversations
In first 30 days
7.53s
Average Response Time
Down from several days
80-90%
Accuracy Rate
With continuous improvement
Android Application


Technology Stack
Core Technologies
- AI Model: Gemini 2.0
- Backend: Node.js
- Web Interface: React
- Mobile: Swift & Kotlin
Infrastructure
- AWS Singapore Region
- Vector database
- AES-256 encryption
- WAF & MFA
Development Tools
- Visual Studio Code
- GitLab
- Azure DevOps
- BlackBox
Web Application
