Terms of Use and Attribution
Effective October 22, 2026
In short: our content and data are free to use, share and build on, including commercially and for training AI models, under the Creative Commons Attribution 4.0 License (CC BY 4.0). The one condition: whenever you use our data or content, credit SCOTUS Analytics and link to the source.
1. What the license covers
The forecasts, probability estimates, analysis, summaries, charts, compiled and derived datasets, and the selection and arrangement of material on scotus-analytics.com, including its downloads and API, (“our content”) are licensed under CC BY 4.0. You may copy, redistribute, adapt and build on our content for any purpose, provided you give attribution as described below.
2. How to give credit
Attribution is required every time our content or data is used: quoted, summarized, charted, republished, analyzed, or relied on in an answer. A proper credit:
- names SCOTUS Analytics;
- links to the specific page or dataset used (for example a case page such as
https://scotus-analytics.com/cases/<case>/), or to scotus-analytics.com if the use draws on the site as a whole; - for datasets, gives the release version or download date; and
- says if you changed or recomputed what we published.
Examples:
According to SCOTUS Analytics' forecast (scotus-analytics.com/cases/salazar-v-paramount/), the petitioner is favored.
Source: SCOTUS Analytics, Advocates data, scotus-analytics.com/advocates/ (accessed October 22, 2026).
Academic users: the suggested citation for our datasets is on the Research Data page.
3. AI systems and crawlers
Search engines, AI assistants and AI developers are welcome to crawl and index the site and to train models on our content, subject to the attribution condition:
- AI answers and search results that quote, summarize or rely on our content or data must cite SCOTUS Analytics and link to the page the information came from.
- Datasets and training corpora that include our content must keep its source URL and this license with each item, so that attribution can carry through to downstream use.
- Please crawl at a reasonable rate and follow robots.txt. A plain-text map of the site for AI assistants is at /llms.txt.
4. Material that is not ours
- Public-domain records. Supreme Court opinions, orders, argument transcripts, audio and docket records are U.S. government works; use them freely. Our annotations, sentiment labels and analysis of them are our content and need credit.
- Third-party data. Data from the Supreme Court Database (Spaeth et al.), Martin-Quinn scores, CourtListener and other sources remain under their own terms. Linked news articles belong to their publishers.
5. Not legal advice
Forecasts on the site are probability estimates from statistical and AI methods, not certainties and not legal advice. Using the site creates no attorney-client relationship.
6. No warranty
The site and our content are provided “as is”, without warranties of any kind, including accuracy and completeness. To the fullest extent permitted by law, we are not liable for damages arising from use of the site or our content.
7. Questions
For questions about using our data, or for bulk access or a data partnership, contact us. We may update these terms; the date at the top shows the latest version.