Legal data. Clear insight.

Two courts, one clearer way to explore them.

Gavel Glimpse is the home base for two public legal-data projects: Granite State Appeals, focused on the New Hampshire Supreme Court, and Supreme Scrutiny, focused on the United States Supreme Court. Both turn public court records into searchable, visual, and more approachable civic information.

Visit Granite State Appeals Visit Supreme Scrutiny

The sites

Each site has its own court, data shape, and research use case. This hub explains what each one does, how it is built, and where the public source code lives.

Granite State Appeals

New Hampshire Supreme Court

A public-facing guide to opinions, orders, justices, topics, trial-court outcomes, and court trends in New Hampshire.

Built for residents, journalists, students, attorneys, researchers, and civic groups who want a clearer view of the state's highest court.

Open site
How it is built
  • The site gathers public New Hampshire Supreme Court materials and turns them into easier-to-browse pages.
  • Opinions, orders, justices, topics, and trial-court results are organized into searchable sections.
  • Charts and filters help visitors spot patterns without needing to read every document one by one.
Models and analysis
  • No large language model is required for the core site experience.
  • Classification and trend views are presented as research aids, with source records kept close by.

Supreme Scrutiny

United States Supreme Court

An interactive research app for exploring cases, justices, advocates, issue areas, voting patterns, history, and predicted outcomes.

Built for students, legal researchers, journalists, lawyers, and curious readers who want to navigate more than two centuries of Supreme Court history.

Open site
How it is built
  • The site draws on Oyez, a public source for United States Supreme Court case information.
  • Case details, justice votes, oral arguments, issue areas, and historical records are organized into connected views.
  • Local copies of frequently used data help the site load faster and keep the research experience smoother.
Models and analysis
  • Prediction tools estimate likely outcomes, vote splits, and cert-grant probabilities from historical patterns.
  • Explanation views show which case features appear to matter most for a prediction.

Shared approach

The projects start from public legal materials, preserve links back to original records, and then add structure, filters, visualizations, and clearly labeled analytical tools.

1. Collect Start with public court records, official pages, case materials, and other open legal sources.
2. Structure Turn scattered legal materials into organized information about cases, dates, justices, topics, and outcomes.
3. Explore Make that information easier to search, filter, compare, and understand through plain-language pages and visuals.
4. Explain Keep analysis clearly labeled, preserve links back to source records, and avoid presenting predictions as legal advice.

What the models are for

These sites are research and public-information tools, not legal advice. Supreme Scrutiny includes machine-learning features for search and prediction, using structured data such as issue area, court of origin, party type, circuit split, and other case features. Those predictions are best read as historical pattern-finding tools. Granite State Appeals is currently centered on collection, classification, browsing, and trend analysis of New Hampshire Supreme Court materials rather than LLM-generated answers.