How I built an AI contract risk analyzer with Qwen on AMD

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1. Project concept

ClauseGuard analyzes legal contracts and flags risky clauses. Instead of reading through 20 pages of legalese, you upload a PDF or DOCX and get a structured risk report with plain English explanations, safer alternatives, and negotiation scripts.

The core idea: chain multiple specialized AI agents together, each handling one part of the analysis, rather than asking a single model to do everything at once.

2. Architecture decisions

Why a 5-agent pipeline

Early experiments with a single prompt (extract clauses AND classify AND score risks) produced inconsistent results. The model would skip steps or produce shallow analysis. Splitting into 5 dedicated agents gave each one a narrow, focused task:

Extractor → Classifier → Risk Scorer → Translator → Reporter

Each agent receives the output of the previous one.…