Oral Arguments Arena: SCOTUS Transcripts and AI-Assisted Moot Court Data

Oral Arguments Data And Results is a repository for AI-Assisted Moot Courts, simulating justice-specific questioning. The dataset, created by ai-law-society-lab, includes SCOTUS oral argument transcripts, case briefs, and LLM classifier outputs. It was last updated on April 1, 2026.

Use Cases

• Training models for legal question-answering based on SCOTUS oral argument transcripts.
• Evaluating LLM performance in moot court scenarios based on the described experimental framework.
• Analyzing patterns in judicial questioning based on annotated transcript data.
• Benchmarking text classification models on legal dialogue based on the automated metrics.

Strengths

• Includes data from the Supreme Court of the United States (SCOTUS).
• Contains both raw transcripts and automated LLM classifier outputs.
• Dataset is associated with a specific research paper detailing its evaluation framework.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ai-law-society-lab

Collection Method

Likely compiled from SCOTUS transcripts and annotated for AI-assisted moot court experiments.

Time Range

null

Freshness

Last updated 2026-04-01 15:47:48; freshness should be verified.

Geography

Regionus (United States)