On April 30, 2026, the Department of Justice’s Civil Division announced the Fraud Oversight through Careful Use of Statistics, or FOCUS, initiative. The initiative is aimed at a fast-growing category of False Claims Act relators that exploded in the aftermath of the pandemic and the Paycheck Protection Program: “data miners” who analyze publicly available government data to identify potential fraud and then file qui tam complaints. DOJ’s message to these non-traditional relators is twofold. First, the Department seems to have accepted that data-miner relators are here to stay, and so has invited sophisticated, well-supported data analysis that can help identify fraud that might otherwise go undetected. But second, DOJ intends to prioritize data-miner relators who can demonstrate meaningful pre-filing diligence, analytical rigor, familiarity with the governing program rules, and legally sufficient allegations.

For companies in sectors with substantial government funding or reimbursement, including healthcare, life sciences, defense, education, technology, and other government contractors, the practical takeaway is straightforward. Companies should evaluate their own publicly available data with the same skepticism and sophistication that a relator, short seller, or agency analyst might apply. Leveraging enhanced analytics and AI to match and front-run potential data miner-driven qui tams will allow companies to quickly assess the likely source of government interest, and explain it.