Success Stories

WhatsApp Legal Assistance Chatbot

Our client had built a substantial library of legal documents — covering workplace harassment, discrimination law, and pay gap legislation — but had no way to make that content accessible to the thousands of people who needed it. Users seeking legal guidance either waited days for a staff response or left without answers. Staff time was consumed by repeat queries already answered in existing documents.

Industry

Legal Aid & NGOs

Client

Legal guidance organization

AI Service

RAG-powered WhatsApp chatbot

Timeline

Multi-NGO deployment

WhatsApp Legal Assistance Chatbot

15

NGOs served

20-50

Daily queries automated

0

App downloads required

24/7

Instant legal guidance

The Challenge

Our client had built a substantial library of legal documents — covering workplace harassment, discrimination law, and pay gap legislation — but had no way to make that content accessible to the thousands of people who needed it. Users seeking legal guidance either waited days for a staff response or left without answers. Staff time was consumed by repeat queries already answered in existing documents.

Specific problems the team was dealing with:

  • Staff answering the same legal questions repeatedly via email and phone
  • Users unable to navigate dense legal and policy documents independently
  • No capacity to scale guidance across 25 NGO institutions without hiring more staff

Our Solution

We built a RAG-powered legal assistance chatbot deployed on WhatsApp — converting the client's entire legal document library into an always-available, conversational resource accessible on any mobile phone.

Results

  • 20–50 queries per day handled automatically, with no staff involvement for routine legal questions
  • Deployed across 15 NGOs — 15 institutions served from one system
  • Instant access to guidance for users who previously had no realistic path to professional legal help for quick queries

Process

Document vectorization

All legal documents were processed, chunked, and stored in a vector database, enabling semantic search across the full library rather than simple keyword matching.

Contextual answer generation

When a user sends a query, the system retrieves the most relevant passages and generates a clear, plain-language answer — without the user needing to know which document to look in.

WhatsApp deployment

The chatbot runs natively in WhatsApp, meeting users on a platform they already use and trust, with no app download or account creation required.

Users gained instant access to guidance that previously required staff time or days of waiting.

Client team

Client team

Legal support program

Related Success Stories

More AI Wins to Explore

View All

Ready for Practical AI?

Ready to Make AI Make Sense?

Book a free consultation and we'll map the AI that actually fits your business. Or subscribe for practical insights you can use as the AI landscape evolves.