I’ve filed a federal case in Oregon, representing myself, after uncovering a nationwide shell-company structure used by one of the world’s largest pharmaceutical corporations.

Thousands of W-2 employees were funneled through dissolved or fake entities — no benefits, no protections, no liabilities — while the real profits flowed up through private trusts and LLCs. This isn’t the typical “parent/subsidiary” setup. It’s the same playbook as past scandals (Enron, Elf, Wirecard), except instead of hiding debt, this structure hid people.

The case is valued at $15B based on the scope of concealed payroll. The IRS has issued claim numbers, the Department of Labor is engaged, and a federal judge has already ordered U.S. Marshals to serve respondents across multiple states.

I’m pursuing this pro se by choice, using AI to accelerate filings and research. Traditional firms would bury or narrow it — transparency is the only strategy here. Every filing, exhibit, and court order is public: https://15billiondollarcase.com.

Would love to hear HN’s perspective on whether AI-assisted litigation and public transparency could shift how cases like this are fought.

This is actually super interesting use case for AI.

It’s no secret that corporate litigation take a significant amount of time and money in lawyers fees (corporate attorneys are expensive obviously). But if you can navigate a case Pro Se via a AI does the cost burden on the corporation effectively turn the tables on the ROI calculation.