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Conley wins Democratic primary to take on Republican Congressman Mike Lawler in New York
The West Point graduate and Army veteran outraised Beth Davidson by more than $1 million and will challenge one of the House’s most vulnerable Republicans.
- On Tuesday, June 23, 2026, Democrat Cait Conley won the primary for New York's 17th Congressional District, securing a matchup against Republican Representative Mike Lawler in November's midterm elections.
- Conley is a 16-year Army veteran who served in Iraq and Afghanistan before holding national security posts in the Biden Administration and at the Cybersecurity and Infrastructure Security Agency.
- Outraising rival Beth Davidson by more than $1 million, Conley demonstrated fundraising strength, though Lawler holds a substantial advantage with $7.4 million raised to Conley's $3.3 million.
- The 17th Congressional District, narrowly won by Kamala Harris in 2024, represents a top pickup opportunity for House Democrats, who need a net three seats to flip the chamber.
- Despite an unfavorable national environment for Republicans, Lawler remains formidable, having defeated Representative Sean Patrick Maloney and former Representative Mondaire Jones in previous tough races.
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13 Articles
Conley Wins New York Democratic House Primary, DDHQ Projects
Cait Conley is projected to win the Democratic primary in a swing district in New York’s Hudson Valley, pitting the former Army special operations director against one of the most vulnerable Republicans in Congress this November.
·New York, United States
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Conley wins Democratic primary to take on Republican Congressman Mike Lawler in New York
Cait Conley, a U.S. Army veteran and national security expert, won the Democratic nomination on Tuesday to take on U.S. Representative Mike Lawler, a New York Republican seen as one of the most vulnerable House members heading into November's midterm elections, according to U.S. media projections.
·New York, United States
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Total News Sources13
Leaning Left7Leaning Right0Center4Last UpdatedBias Distribution64% Left
Bias Distribution
- 64% of the sources lean Left
64% Left
L 64%
C 36%
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