Fine Print.

Inspiration

We’ve all clicked “I agree” without actually reading what we agreed to. Terms of service, privacy policies, contracts, and other legal documents are often long, complicated, and filled with language that makes it difficult to understand what really matters.

That inspired us to build Fine Print — a tool designed to make complex documents easier to understand. Our goal is simple: help people quickly identify important clauses, potential risks, and key takeaways before they agree to something.

What it does

Fine Print helps turn dense legal language into clear, understandable information. Instead of reading pages of complicated text, users can analyze a document and focus on the details that deserve their attention.

The experience is designed around a simple idea: understand the fine print before you sign.

How we built it

We built Fine Print as a web application with a simple, approachable interface so that analyzing a document feels straightforward rather than intimidating.

The application processes document content and uses AI to interpret the text, surface important information, and explain complicated language in a more accessible way. We focused on presenting the results clearly so users can quickly understand the document rather than replacing one wall of text with another.

Throughout development, we iterated on both the analysis workflow and the user experience, balancing the technical side of document processing with a clean interface that keeps the product easy to use.

Challenges we ran into

One of the biggest challenges was deciding what information actually matters in a long document. Legal documents contain a lot of context, and simply summarizing everything can cause important details to disappear.

We also had to think carefully about how AI-generated explanations should be presented. The goal was to simplify difficult language without giving users a false sense of certainty or presenting the tool as a replacement for professional legal advice.

Another challenge was creating an experience that could take something inherently complicated and make it feel simple. That meant reducing unnecessary steps and keeping the interface focused on the information users actually need.

What we learned

Building Fine Print taught us that applying AI to documents is about much more than generating summaries. Good document analysis requires identifying context, prioritizing information, and communicating uncertainty clearly.

We also learned how important product design is when working with AI. Even a powerful analysis is only useful if users can quickly understand the result and know what to do with it.

What's next for Fine Print

We’d like to expand Fine Print with deeper document analysis, better identification of potentially concerning clauses, and more personalized explanations based on what the user cares about.

Future versions could also support comparisons between documents or contract versions, interactive questions about uploaded documents, and clearer risk indicators for important clauses.

Ultimately, we want Fine Print to make one habit much easier: knowing what you’re agreeing to before you click “I agree.”

Built With

• ai-sdk
• android
• capacitor
• css3
• gemini
• next.js
• pwa
• react
• typescript
• vercel
• vercel-ai-gateway
• zod