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AI Document Analyser

Upload any PDF and get instant AI-powered summaries, clause extraction, and risk flags — built for legal and finance teams.

PythonFastAPIOpenAI APIAWS Lambda

What needed solving

A legal services firm was spending 6–8 hours per contract manually reviewing clauses, flagging risks, and extracting key dates. With deal volume increasing, the process was becoming a bottleneck and a liability.

How I solved it

I built an AI document analysis tool where users upload a PDF and receive a structured report in under 30 seconds — covering summary, key clauses, risk flags, and critical dates. Built on FastAPI with OpenAI GPT-4o and deployed serverlessly on AWS Lambda.

A look at the product

AI Document Analyser screenshot 1
AI Document Analyser screenshot 2
AI Document Analyser screenshot 3

Key Features

  • PDF upload with instant AI-powered analysis
  • Executive summary generated per document
  • Clause extraction with category tagging
  • Risk flag detection with severity scoring
  • Critical date extraction (deadlines, renewals, expiry)
  • Exportable structured report as PDF or JSON

Architecture

  1. 01FastAPI backend for async document processing
  2. 02PyMuPDF for PDF text extraction and page parsing
  3. 03OpenAI GPT-4o with structured output for consistent JSON responses
  4. 04AWS Lambda + API Gateway for serverless deployment
  5. 05AWS S3 for document storage with presigned URL access
  6. 06Next.js frontend for upload flow and report rendering

Results & Outcomes

Document review time reduced from 7 hours to under 30 seconds

Risk detection accuracy validated at 91% against manual review

Team capacity increased — same headcount handling 3x deal volume

ROI achieved within the first month of deployment

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