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CaseNotes vs Multichoice installer payments vs WhatsApp platforms

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: none in common
  • Order: WhatsApp platforms (2018 – 2022) → CaseNotes (Feb 2026 – present)

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CaseNotes ›

South African legal research, e-discovery and learning, powered by AI

Multichoice installer payments ›

R5M+ paid to installers in the first six months

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

At a glance

Role
Founder / Lead Engineer
When
Feb 2026 – present
Length
9 mo so far
Status
Live
Type
AI, Web, Mobile
Role
Integration engineer
When
Delivered
Length
—
Status
Delivered
Type
Platform
Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI

The problem

South African legal information is scattered across portals with limited keyword search, while international e-discovery platforms are often priced beyond the local market.
Integrated the installer management system into Multichoice's payment process so installers are paid accurately and on time.
A WhatsApp-based job platform (Altur), Harambee Youth Accelerator's move from a mobisite to WhatsApp, and eButler's WhatsApp ordering with payments through Flash.

What was built

An integrated research, e-discovery and learning platform: hybrid semantic search across more than 10,000 judgments, a precedent citation graph, structured document extraction, AI-assisted discovery and stateful research workflows.
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Stack

  • Next.js
  • FastAPI
  • PostgreSQL
  • pgvector
  • Neo4j
  • Redis/ARQ
  • Azure OpenAI
  • LangChain
  • LangGraph
  • Payments integration
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio

Highlights

  • Five-stage Graph RAG pipeline in LangGraph
  • Hybrid pgvector and Neo4j retrieval, and a TAR active-learning loop
  • Human-in-the-loop tool-calling chat with PostgreSQL checkpoints
  • MCP server for case search and drafting
  • Processed over R5 million in installer payments within six months
  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo

Infrastructure choices

  • pgvector + Neo4j
  • Redis / ARQ workers
  • LangGraph with PostgreSQL checkpoints
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—

Outcome

An integrated research and review platform grounded in more than 10,000 judgments, with a structured learning bank of 1,624 rubric-scored questions. The architecture supports resumable jobs, traceable sources and human review.
Over R5 million in installer payments processed within six months.
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