Inspiration
TermsInspector was born from our frustration running dropshipping projects and constantly running into tools with hidden fees, auto-renewals, and confusing legal terms. We wanted a simple way to understand whether a website was safe before agreeing to anything.
What it does
TermsInspector analyzes any website link, extracts its Terms and Privacy Policy, highlights risky clauses, explains them in plain language, and gives a clear legal risk score. It turns dense legal text into quick, understandable insights.
How we built it
We used the Gemini LLM for analysis, Supabase for storing and processing policy text, and Lovable for the frontend. Early on we tried scraping, but realized it wasn’t needed; a simpler Supabase-powered extraction pipeline worked better.
Challenges we ran into
Different websites structure their policies in inconsistent ways, which made extraction tricky. Early AI outputs were either too cautious or too aggressive, so we refined the logic and scoring to make results accurate, fast, and easy to understand
Accomplishments that we're proud of
We built an MVP that analyzes policies in seconds, provides clear summaries, and offers a useful risk score. It’s simple, fast, and genuinely helps people avoid hidden traps online.
What we learned
Legal text is hard to read by design, but LLMs can make it understandable with the right structure. We also learned that simplicity creates better user experiences.
What's next for TermsInspector
We’ll validate the MVP through whitelist signups, test interest in a browser extension, and then build the extension if demand is strong. Long term, we aim to make TermsInspector a go to tool for safe, informed browsing.
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