AI-Generated Bills Create More Work Than They Save, Overwhelm House Legal Counsel

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Congressional staffers are turning to ChatGPT and Claude for drafting legislation, but the Office of Legislative Counsel now spends more time fixing AI-generated bills than writing them from scratch. The surge in flawed AI-drafted proposals reveals critical gaps in how automation handles the precision required for lawmaking.

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Congressional Staffers Embrace AI Tools for Drafting Legislation

Congressional staffers and outside groups are increasingly using AI tools like Claude and ChatGPT to draft legislation, creating an unexpected crisis for the lawyers who must review this work

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. The Office of Legislative Counsel, the quality-control layer between legislative ideas and federal statutes, is now drowning in AI-generated legislative drafts riddled with errors. Four congressional staffers involved in drafting legislation confirmed that the use of AI-generated text in drafting legislation has become routine in the U.S. House. One House staffer described the situation bluntly: "It's absolutely terrifying, and no one is thinking about it yet"

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AI-Drafted Bills Take Longer to Fix Than Write From Scratch

The irony is sharp. Advisors to the Office of Legislative Counsel report that lawyers now spend more time trying to fix AI-drafted legislation than it would take for them to draft it from scratch

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. This reality contradicts the efficiency promise that drove AI adoption in the first place. Warren Burke, who leads the Office of Legislative Counsel, testified in March that the office is "bracing for AI to expand our workload," noting that text produced by outside entities—whether human or computer—often takes significantly longer to review and revise

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. The bill preparation workload has already surged. In the 118th Congress, the office prepared 30,494 bills, a 188 percent increase from the 10,564 actually introduced

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How AI's Real-World Implementation in Legislative Processes Goes Wrong

AI's unintended consequences in governance become visible in the types of errors flooding into the Office of Legislative Counsel. Wade Ballou, who headed the office for almost 10 years until 2024, explained that AI tools cannot determine whether a pot of money should be classified as a "tax credit, tax deduction, tax exclusion or a grant"

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. These seemingly small distinctions carry enormous weight in how laws are interpreted and enacted. Definition errors pose similar risks. AI-generated bills sometimes define "state" to include only the 50 states, which would exclude Washington DC and tribal nations from federal programs

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. Incorrect citations present another guaranteed path to disaster. Ari Hershowitz, a lawyer and technologist who has worked with the office, called wrong statutory citations "a guaranteed way of introducing thousands of bugs into our legal system"

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. Hallucinations—AI's tendency to confidently generate false information—compound these automation risks.

Staffers Lose Deep Understanding of Their Own Bills

Beyond technical errors, AI-generated bills are creating a knowledge problem among congressional staffers themselves. Because they rely on AI for drafting legislation, staffers are no longer forced to "learn the issue as deeply" as they would if writing proposals manually

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. This erosion of institutional knowledge means the people proposing laws may not fully understand what their bills are about or hope to accomplish. The implications extend beyond immediate legislative changes—when staffers lack deep familiarity with their own proposals, the entire deliberative process that underpins effective governance weakens.

Office Develops Its Own AI Tool to Combat the Crisis

To manage the flood, the Office of Legislative Counsel is exploring its own AI solutions while testing Microsoft Copilot as authorized by the House

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. The office has developed an AI tool called Comparative Print Suite that uses natural language processing to help staffers visualize how a proposal will change current laws

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. Unlike general AI tools, it returns an error if it cannot determine where legislative changes should be made, preventing hallucinations from contaminating draft bills. Hershowitz described it as the first AI tool in the House, emphasizing that "there's no hallucinations"

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. Charlotte Lee of Granicus, who helped design the tool, highlighted an incongruity: "Members and interest groups get to write things with AI, but then leg counsel themselves can't use commercially available AI"

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What This Means for the Future of Lawmaking

The situation reveals a fundamental mismatch between AI capabilities and the precision required for lawmaking. Daniel Schuman of the American Governance Institute summarized it clearly: "AI is good for a lot of stuff, but it's not capable of drafting legislation that you would want to enact into law"

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. Watch for potential regulations governing AI use in legislative drafting, as the current free-for-all approach is unsustainable. The office's attorney numbers are up 59 percent since the 116th Congress, yet average experience has fallen 22 percent, with 58 percent of attorneys now having less than a decade of service

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. This staffing reality suggests the problem will intensify before it improves. While Anthropic's Claude and similar tools promise efficiency, their deployment in high-stakes environments like Congress demonstrates that automation without appropriate guardrails creates more problems than it solves.

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