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NexGenData
NexGenData

Posted on • Originally published at thenextgennexus.com

New: US Court Opinions & Case Law Search — search 240k+ US court opinions as structured JSON

What it does

This actor searches a quarter-million U.S. federal and state court opinions by case name, party, topic, or court, and returns the citation, cite count, deciding judge, and a link to the full text. Built on CourtListener's case-law corpus, it's tuned for legal research and legal-AI pipelines that need clean, structured precedent rather than scraped HTML. Filter by court, restrict to opinions filed after a date, and bring your own CourtListener token to lift rate limits at scale.

Who it's for

Litigators researching precedent, legal-AI and RAG pipelines needing structured case law, academic and journalistic researchers, and anyone who wants bulk case-law export that Westlaw and Lexis terms forbid.

Sample fields / output

  • caseName
  • court
  • dateFiled
  • citation
  • citeCount
  • judge
  • link to full text

Example use cases

  • Pull every opinion citing a landmark case, ranked by cite count, to map a line of precedent.
  • Restrict to one court after a given date to monitor emerging case law in a jurisdiction.
  • Feed clean, structured opinions into a legal-AI retrieval pipeline instead of scraping HTML.

▶ Run US Court Opinions& Case Law Search on Apify →

Related actors

FAQ

Where does the case law come from?

From CourtListener's open case-law corpus of 240,000+ U.S. federal and state opinions.

Do I need a CourtListener token?

Not to start, but bringing your own token lifts rate limits when you pull at scale.

Can I use this for a legal-AI pipeline?

Yes. It returns clean, structured fields rather than scraped HTML, which is what RAG and legal-AI pipelines need.

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