AI SaaS MVP Built and Live in 4 Weeks
Custom RAG-powered document intelligence platform for a legal tech startup
28 days
To Production
Full SaaS platform live and investor-ready
3
Pilot Clients
Law firms onboarded within 2 weeks of launch
92%
Query Accuracy
On legal document retrieval benchmarks
₹18L
Seed Funding Raised
Investor demo enabled by the live product
The challenge
A legal tech founder had a validated idea: help small law firms instantly search and summarize case documents. They had a design mockup but no technical co-founder and needed to go to market in under a month to meet an investor deadline.
What we built
We engineered a full-stack AI SaaS platform with document upload, OpenAI-powered RAG (retrieval-augmented generation), tiered Stripe billing, and a clean client dashboard — shipped to production in 28 days.
- Next.js frontend with role-based user authentication (Clerk)
- Pinecone vector database for semantic document search
- Custom RAG pipeline: PDF → chunked embeddings → GPT-4o answers with citations
- Stripe Checkout + webhook integration for pay-per-use and monthly tiers
- Deployed on Vercel with auto-scaling edge functions
Stack & approach
Want results like this?
Every engagement starts with understanding your problem. No generic pitches.