Privasee

Privasee is a browser extension that turns complex privacy policies into clear insights showing what data you give away, how it’s used, and your real-time risk so “I Agree” becomes “I Understand.”

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Inspiration

Every day, millions of users click “I Agree” without reading the Terms of Service. Not because they don’t care about privacy — but because the documents are long, complex, and intentionally difficult to digest.

In a world where data is currency, users unknowingly trade away their personal information for access to digital services. High-profile data leaks at companies like Facebook, Equifax, and Yahoo have shown how vulnerable individuals are when corporations mishandle data.

We built Privasee to shift power back to users — to make consent informed, not blind.

What it does

Privasee is a web-first browser extension that analyzes Terms of Service and Privacy Policies in real time. Instead of forcing users to read dense legal text, Privasee:

  • Summarizes what data is being collected
  • Highlights potential privacy risks
  • Ranks websites based on privacy severity
  • Monitors granted permissions and shows exposure level
  • Provides actionable steps to reduce digital footprint

Privacee transforms “I Agree” into “I Understand.”

How we built it

Privasee combines frontend browser extension technology with AI-powered legal text analysis.

  • We built the extension interface using modern web technologies for seamless browser integration.
  • On the backend, we used Gemini Pro to scrape, parse, and analyze Terms of Service and Privacy Policy documents.
  • We designed structured prompts to extract key risk indicators, categorize data collection practices, and generate simplified summaries.
  • A scoring system ranks platforms based on data sensitivity, third-party sharing, and retention policies.

The result is a fast, readable, and user-focused privacy assistant.

Challenges we ran into

  • Parsing inconsistent legal document formats across different websites, including handling Cloudflare-protected pages
  • Extracting and processing dynamic, script-rendered, and multi-page privacy policies
  • Reducing hallucination risk while using AI for legal summarization
  • Designing a privacy risk scoring system that is both technically accurate and easily understandable for users
  • Development delays due to rapid prototyping, experimentation, and resolving unexpected technical blockers
  • Significant time invested in ideation and refining the core product vision
  • Legal documents are intentionally complex, and building a system that converts them into structured, reliable insights required multiple iterations.

Accomplishments that we're proud of

  • Successfully building an AI-powered legal analysis pipeline within hackathon constraints
  • Creating a clean and actionable user interface instead of just another summary tool
  • Demonstrating real-time parsing and exposure monitoring

What we learned

  • Users don’t want more information — they want clarity and actionable insights. Simplification is more valuable than volume.
  • AI is powerful, but when dealing with legal language, it must be carefully constrained through structured prompts and validation to avoid misinterpretation.
  • Properly scoping the problem before implementation saves significant development time and reduces technical debt.

What's next for Privasee

  • Continuous monitoring of policy updates to automatically detect and summarize changes in Terms of Service and Privacy Policies.
  • Integration with public breach databases to provide real-time alerts when a platform you use has been involved in a data breach.
  • Optimizing database architecture and query efficiency to reduce latency and improve real-time performance.

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