How AI Can Solve the Problem of Static Forms

As courts modernize, one key limitation keeps showing up: many legal matters require people to explain what happened, why it matters, and how events connect. Rigid forms aren’t built for that.

Forms work well for simple facts. They work poorly when people need to tell a story, explain cause and effect, or lay out a timeline. Checkboxes and short fields can’t capture that kind of information.

The result is friction at the start of a case. People submit filings that are unclear, incomplete, or out of order. Courts then have to sort through narratives, reconstruct timelines, and identify what’s missing—slowing cases and increasing administrative strain.

For years, technology tried to fix this by adding more instructions and rules. That doesn’t solve the problem; it just shifts complexity onto users and pushes cleanup work downstream.

AI enables a different approach. Instead of forcing people into rigid formats, AI-powered tools can help organize plain-language explanations into clearer, more usable information—without making legal decisions or replacing human judgment.

Used carefully, with clear limits and human oversight, AI can improve clarity at intake while preserving accountability. The goal isn’t to remove structure, but to build systems that work with how people naturally explain what happened, helping courts receive better information earlier in the process.

To learn more, read our CEO Binh Dang’s Substack article: Part 2: How AI Can Solve the Problem of Static Forms, from the series From Static Forms to Intelligent Systems: The Next Transformation in Court Access.