cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/placeholder.png This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built A document contradiction analyzer that finds logical inconsistencies across multiple documents and synthesizes them into a coherent narrative. It runs Gemma 4 31B entirely on local hardware, processing up to 128K tokens in a single inference pass. The problem it solves: Organizations dealing with policy versioning, regulatory compliance, contract analysis, or research synthesis need to identify contradictions quickly. But sending sensitive documents to cloud APIs creates privacy and cost problems at scale. Why Gemma 4 matters: The 31B model's 128K context window lets you ingest entire document suites without batching. Local execution keeps data on your hardware. Cost scales linearly—you pay for inference once, not per API call.…