No one reads privacy policies. So I built 6 AI Agents to do it for me.

We all know the drill: you sign up for a new service, a massive wall of legal text pops up, and you instantly scroll to the bottom and click "I Accept." As developers, we know exactly how much data is being harvested, yet we still don't have the time to read through 40 pages of legal jargon.

For the Microsoft Agents League Hackathon (Reasoning Agents Track) in collaboration with Microsoft Foundry, I decided to build a solution.

Meet TrustGuard AI — a multi-agent system that doesn't just summarize privacy policies, but uses sequential reasoning to decode real-world risks, hunt down dark patterns, and benchmark sites against tech giants.

Here is a breakdown of how I built it and the architecture behind the agents. 🚀

The problem with most LLM-based legal tools is that they just summarize. But summarizing a terrible privacy clause just gives you a shorter terrible privacy clause.