All Case Studies
SaaS using AI Legal Tech / SaaS Delivered in 4 weeks

AI SaaS MVP Built and Live in 4 Weeks

Custom RAG-powered document intelligence platform for a legal tech startup

Key Outcomes

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

RAG PipelineLegal TechSaaSStripeNext.jsPinecone

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