Artificial intelligence is reshaping every industry, but one area people rarely talk about is how AI could transform the way government writes laws. After working in political analysis and studying how legislation actually gets drafted at the state level, I’ve seen firsthand how slow, repetitive, and outdated the process can be.
Most bills begin with pages of recycled language from previous sessions. Staffers manually search old statutes, compare versions, and piece together drafts line by line. It’s a time-consuming process that leaves room for human error, and it often slows down policy responses to real-world problems.
AI has the potential to change this. With the right safeguards, AI can help generate early bill drafts, summarize existing statutes, detect conflicting language, and flag constitutional issues long before a bill reaches committee. Instead of replacing lawmakers or staff, it could reduce the hours spent on tedious formatting and legal cross-referencing, letting people focus on the substance of policy.
But AI also raises serious questions: Who trains these models? Are they biased? Who is accountable when the AI gets something wrong? My time at DAGA and the Wisconsin State Capitol made one thing clear: technology always outpaces regulation, and the legal field can’t keep ignoring this.
As AI becomes more embedded in public institutions, we’ll need strong ethical standards, transparent data sources, and human oversight at every level. If we get that right, AI won’t undermine democracy. It will help strengthen it by making government more accurate, efficient, and accessible.