JurisTrack - Geo-Regulation Compliance Radar

AI-powered compliance intelligence that flags geo-specific regulatory risks in product features, resolves internal jargon, matches with regulation knowledge base and generates audit-ready reports

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Inspiration

In today’s fast-moving digital world, every new feature in a product can trigger a set of region-specific regulations. Whether it’s payments, data sharing, or content management, global platforms struggle to keep up with complex and rapidly evolving compliance requirements. Our inspiration came from seeing how engineering and compliance teams often miscommunicate. Features are labeled with internal codenames or jargon, which makes it hard for compliance teams to map them to actual laws. We wanted to build a tool that not only bridges this gap but also leverages AI responsibly to accelerate compliance without compromising accuracy.

What it does

JurisTrack is a compliance radar for product features. It:

  1. Resolves internal jargon and codenames into real-world feature meanings.
  2. Uses LLM precision boosted with a regulation knowledge base (EU APIs + curated rules) to analyze each feature.
  3. Flags whether the feature requires geo-specific compliance logic.
  4. Identifies applicable obligations and regions.
  5. Generates audit-ready reports with confidence scores and reasoning.
  6. Keeps humans in the loop, supporting compliance officers instead of replacing them.

How we built it

Designed the system in modular components:

  1. Jargon Resolver – converts ambiguous feature descriptions into clear terms.
  2. Compliance Analyzer – runs LLM inference with retrieval-augmented context from regulations.
  3. Knowledge Base – integrates EU API plus manually added regulations.
  4. Dashboard – displays flagged features, confidence scores, and reports.
  5. Backend built in Python (FastAPI) with LLM integration.
  6. Regulations ingested via APIs and JSON-based manual entries.
  7. Frontend built with ReactJS for the real-time compliance dashboard.

Challenges we ran into

  1. Aligning ambiguous product feature descriptions with actual regulations.
  2. Preventing LLM hallucinations — solved by grounding outputs in verified laws.
  3. Building a usable dashboard that compliance officers can trust.
  4. Time constraints of the hackathon, while ensuring modular design.

Accomplishments that we're proud of

  1. Building a unique jargon resolver (first of its kind in compliance tools).
  2. Boosting LLM precision with retrieval-augmented context from regulations.
  3. Delivering a working compliance radar dashboard within hackathon time.
  4. Designing responsibly with human-in-the-loop feedback in mind.

What we learned

  1. The importance of context resolution before feeding data into LLMs.
  2. How to integrate regulatory APIs with AI workflows.
  3. That compliance isn’t just about automation — it’s about augmented intelligence with accountability.

What's next for JurisTrack - Geo-Regulation Compliance Radar

  1. Expand knowledge base to cover more global regulations (US, APAC, LATAM).
  2. Integrate feedback loops from compliance officers to continuously improve accuracy.
  3. Build multi-language support for global teams.
  4. Explore partnerships with regulatory bodies and compliance platforms for adoption.

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