Supreme Court Religion Clause oral arguments, 1980-2025

How Originalism Has Changed Supreme Court Religion Clause Argument

Bring a claim about constitutional method to a corpus that can be searched, counted and checked in context. This pilot turns decades of oral argument into evidence a legal scholar can actually read.

Test Claims See whether legal language rises, falls or travels with other arguments.
Find Examples Jump from a pattern to the cases and transcript passages behind it.
Stay in Control Use counts to find leads while preserving close legal judgment.

See the change for yourself

From a hunch to auditable evidence

For legal scholars

What this can do for your research

Test a claim at scale

Ask whether a doctrine, interpretive method, precedent family or phrase changes across cases, courts, time periods or speakers.

Find examples without the grind

Replace thousands of manual searches with targeted leads, then read the relevant passages yourself.

Keep judgment in the loop

Revise dictionaries, mark meaningful uses and separate passing references from serious legal argument.

Build around your project

Bring a doctrine, archive, case set or vocabulary. The same system can be shaped around your sources and questions.

Research interface

Oral-Argument Corpus Dashboard

Loading Supreme Court Religion Clause oral-argument transcripts.

Cases...
Transcripts...
Words...
Dictionary hits...
Dashboard filters

At a glance

The headline comparison

Loading corpus trend...

Headline vocabulary comparison chart

Line chart comparing originalist vocabulary with other reasoning vocabulary.

What this view shows

The overview compares originalist, historical and determinate legal-materials vocabulary with other legal and moral-reasoning vocabulary, using rates per 10,000 words.

Why KWIC matters

Word counts point to patterns; KWIC lets a reader confirm whether a hit reflects meaningful legal argument.

Cases

Turn patterns into a reading list

Rank cases by the language most relevant to your question.

Religion Clause cases ranked by selected word list
Rank Case Year Rate Hits Top matched terms

KWIC Context

Inspect the argument

Move from a count to the actual language, with enough context for legal judgment.

Loading transcript context...
Keyword-in-context transcript results
Case Year Speaker Role Term Context

Co-occurrence

Which arguments travel together?

See which vocabularies tend to appear in the same cases under the current filters.

Data/Export

Take the evidence with you

Download focused evidence for notes, articles, books or grant proposals.

Filtered case summary preview
Case Year Words Selected hits Rate

Methods

How the evidence is built

A condensed methods page; the full dictionary details remain below.

In plain English: the app counts defined word lists in Supreme Court Religion Clause oral-argument transcripts and reports rates per 10,000 words. It provides a basis for further legal research, removing the tedium of thousands of searches from scholars' plates and enabling them to focus on analysis.
Corpus Construction

The pilot studies Supreme Court Religion Clause oral arguments from 1980 through 2025. Transcript turns are organized by case, year, speaker, speaker role, Religion Clause type and legal framework so aggregate trends can be checked against case-level examples.

Dictionary Design

The dictionaries capture doctrinal vocabulary, precedent anchors, textual argument, historical/original-public-meaning language, RFRA/RLUIPA terms and other legal-reasoning families. They are transparent seed lists: useful for finding patterns, and open to refinement as the corpus is reviewed.

Reading the Vocabularies

The word lists are overlapping lenses rather than sealed categories. A single exchange can invoke doctrine, precedent, text, history, liberty and administrability at once, which is why the app pairs headline trends with dictionary-level views.

Normalization & Scaling

Counts are scaled as hits per 10,000 transcript words. This keeps long arguments from overwhelming short arguments simply because they contain more words.

Interpretation Caveats

A dictionary hit may be meaningful, quoted, rejected or incidental. KWIC review supplies the close reading because terms such as history, tradition or neutrality can carry different legal meanings in different transcript turns.

What the Pilot Produces

The pilot produces case-level summaries, normalized trend evidence, co-occurrence leads and examples for close reading. Those outputs can support a larger project on originalism and constitutional argument across additional sources and constitutional domains.

Dictionary Details

Why it matters

Legal argument leaves a trail

If constitutional method changes, that shift should leave traces in how advocates and justices talk about text, history, tradition, precedent and institutional consequences.

The point is not to replace legal judgment with word counts. It is to make a claim testable, then bring the language back into view for close reading.

Trend, ranking and KWIC context together give scholars a faster way to find examples, challenge impressions and develop better questions.

Scope and method

A compact methods note

The dashboard Methods tab keeps the dictionaries and caveats visible, so a reader can see how the evidence was built before deciding what it means.

How it works

The pilot counts defined word lists in Religion Clause oral-argument transcript turns, normalizes rates per 10,000 words, and keeps transcript context available for validation.

The same architecture can be tailored for other constitutional domains, briefs, opinions, archives or scholar-defined vocabularies.

Build your corpus

Bring a legal question. Leave with a research instrument.

This Religion Clause pilot is a starting point. Bring a doctrine, case set, archive, time period or vocabulary, and I can shape a searchable, auditable tool around the question you actually want to answer.

  • Custom dictionaries for doctrines, cases, phrases, interpretive methods or institutions.
  • Human review workflows that distinguish meaningful uses from passing references.
  • Exportable evidence for articles, books, briefs, presentations or grant proposals.
Start a custom corpus project