See how to build a contract-analysis workflow using Google Gemini 3 Pro and the Box AI API.This demo walks through a Python script that extracts structured metadata from a long contract and then evaluates that contract against a library of internal reference documents stored securely in Box. You’ll get a clear look at how Gemini 3 enhances Box AI’s ability to understand complex, multi-document content — enabling real enterprise workflows that go far beyond a single prompt. If you’re building applications that rely on long-form documents, organizational context, or contract intelligence, this video shows exactly how to get started. What you’ll learn:→ Use Google Gemini 3 Pro with the Box AI Extract Structured endpoint→ Save AI-extracted metadata directly into Box file metadata→ Run multi-file analysis using the Box AI Ask API→ Compare a contract against internal governance and compliance documents→ Build a repeatable Python workflow with simple CLI inputs→ Leverage Box as the secure content layer for all AI reasoning Chapters: 00:00 – Introduction (Gemini 3 + Box AI) 00:00:27 – Reviewing the Acme Contract in Box 00:01:11 – The Contract Risk Benchmark Library 00:02:01 – Code Tour: Authentication, Extraction, Q&A 00:03:38 – Default Prompt Overview 00:04:00 – Running the Script (Terminal Demo) 00:06:14 – Reviewing the Extraction Results in Box 00:07:00 – Multi-File Risk Assessment Output 00:07:40 – Final Thoughts: Gemini 3 + Box AI 00:08:23 – Conclusion

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