Inspiration
Every year, the average digital user spends hundreds of hours clicking "I Agree" on 27,000-word contracts that are basically incomprehensible to the general public. Simultaneously, enterprise legal teams frequently utilize industry-standard language that has since become a massive regulatory liability--- we have seen this in record-breaking fines like the $5B Meta FTC penalty. rdflg was inspired by the need to bridge this transparency gap, creating a tool that both protects individual rights and mitigates corporate legal risk.
What it does
rdflg is a transparency platform designed to eliminate the broken consent system as a whole, not just patch one side of it. Most existing solutions focus on either protecting users or helping companies comply. rdflg does BOTH---because meaningful consent only works when understanding and accountability exist on both sides. rdflg doesn’t just reduce harm—it removes the incentives that created the problem in the first place.
For Consumers Paste a ToS or link, and rdflg runs Gemini to surface hidden red flags and clause counts. For accessibility, ElevenLabs-powered voice summaries translate this legal jargon into clear explanations of the risks.
For Enterprises A business dashboard that allows for testing of draft agreements against historical legal data, and grades contracts against industry competitors.
How we built it
The frontend was built using React Next.js and Tailwind CSS. Gemini 1.5 Flash handles clause analysis while the ElevenLabs API converts complex results into narrated summaries, allowing stakeholders to literally hear their risk profile.
Challenges we ran into
Server Configuration: Setting up the backend to handle high-volume API imports from both Gemini and ElevenLabs was a significant hurdle.
Deployment: We faced roadblocks while configuring the web server to securely communicate between the frontend and the AI endpoints.
Accomplishments that we're proud of
We learned APIs quickly and provided an end-to-end Terms of Service analysis technology for both clients and enterprises.
What we learned
- The importance of using and integrating AI responsibly in a real web application
- Modular development makes building, debugging, and iterating much more efficient
- Deploying to a custom .tech domain involves more setup than expected
What's next for rdflg
Browser Extension: Launching a real-time tool that audits ToS automatically at the point of sign-up so users don't need to manually import ToS.
Integration of community telemetry to spot patterns in user database and improve decisions.
Log in or sign up for Devpost to join the conversation.