The challenge
What needed to change
A legal tech startup was drowning in contract review: thousands of documents per day, eight hours of manual work per file, and inconsistent risk flagging across reviewers.
Case study
A legal tech startup needed to process thousands of contracts daily — extracting key clauses, flagging risk, and generating summaries in seconds. We built an end-to-end RAG pipeline with GPT-4, Pinecone vector storage, and a Next.js dashboard that replaced 8 hours of manual review per document.
Key metrics
92%
Time saved per doc
10k+
Docs processed/month
8 wks
Zero to production
40%
Operational cost reduction
The challenge
A legal tech startup was drowning in contract review: thousands of documents per day, eight hours of manual work per file, and inconsistent risk flagging across reviewers.
Our approach
We designed an end-to-end RAG pipeline with GPT-4, Pinecone for vector retrieval, and a Next.js operations dashboard. Legal teams upload contracts, get clause extraction, risk scoring, and plain-language summaries in seconds — with full audit trails.
Results
The platform eliminated 92% of manual review time, scaled past 10k documents per month, and reached production in eight weeks with a measurable drop in operational cost.
NEXT PROJECT
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