Trump’s Justice Department Seeks Voter Rolls From Michigan, a Key Battleground
ILLINOIS, JUL 22 – The DOJ supports Judicial Watch's lawsuit demanding Illinois comply with federal law after only 100 voter registrations were removed from nearly 1 million in two years, officials said.
- The Department of Justice filed a `statement of interest` in Judicial Watch’s Illinois lawsuit, which was filed in 2023, to support enforcement of federal voter roll laws.
- The National Voter Registration Act mandates removal of ineligible voters after notification and elections, and the lawsuit demands Illinois bring its registration practices into compliance.
- The lawsuit notes only 100 removals among 980,089 voters in 23 counties over two years, the lawsuit argued that this is `absurdly small` and unreasonable.
- Following the DOJ’s move, Illinois now faces pressure to clean voter rolls, and Harmeet K. Dhillon emphasized the department will enforce maintenance vigorously.
- Next week, U.S. District Court Judge Sara L. Ellis set a hearing, and the DOJ's request mirrors efforts in about a dozen states ahead of the 2026 midterm elections.
Insights by Ground AI
Does this summary seem wrong?
18 Articles
18 Articles
Trump’s Justice Department seeks voter rolls from Michigan, a key battleground
President Donald Trump’s Justice Department is asking the top election official in the key battleground state of Michigan for access to voter registration records and demanding information about its efforts to kick ineligible voters off the rolls.
·Atlanta, United States
Read Full ArticleJustice Department seeks voter rolls from Michigan Secretary of State
President Donald Trump's Justice Department is asking the top election official in the key battleground state of Michigan for access to voter registration records and demanding information about its efforts to kick ineligible voters off the rolls.
·Flint, United States
Read Full ArticleCoverage Details
Total News Sources18
Leaning Left3Leaning Right2Center10Last UpdatedBias Distribution67% Center
Bias Distribution
- 67% of the sources are Center
67% Center
L 20%
C 67%
13%
Factuality
To view factuality data please Upgrade to Premium