🚀 Real-World Use Cases

Generative AI
Use Cases

Five production-ready GenAI solutions that solve real business problems — from automated contract review to intelligent support triage. Each use case includes a deep-dive study guide and a hands-on Python notebook you can run in Google Colab.

Start with Contract Review → ← Back to GenAI Hub
5
Use Cases
5
Notebooks
LLM
Powered
RAG
Architecture
🌐
Open Source

Use Cases

Real problems. Real solutions. Production-ready code.

01
Automated Contract Review
Legal teams spend 60% of time manually reviewing contracts. Use LLM + RAG to extract key clauses, flag risky language, and generate risk assessments — reducing review time by 85%.
RAG ChromaDB Risk Scoring
02
Customer Support Ticket Triage
Support teams waste hours manually categorizing 50K+ tickets/month. Build an LLM pipeline that auto-classifies urgency, routes to correct team, and drafts initial responses using RAG.
Structured Output RAG Routing
03
Medical Record Summarization
Doctors spend 2+ hours/day on documentation. Summarize unstructured patient notes into SOAP format, extract medications and diagnoses, and flag drug interactions automatically.
Medical NER SOAP Format HIPAA
04
Financial Earnings Call Analyzer
Analysts manually listen to 90-minute earnings calls. Use LLM to extract key metrics, analyze sentiment per topic, detect forward-looking statements, and generate executive summaries.
Financial NLP Sentiment Citations
05
Codebase Documentation Generator
60% of developer time is spent understanding existing code. Parse source code with AST, generate docstrings and API docs with LLM, create architecture diagrams, and detect documentation drift.
AST Parsing Mermaid CI/CD