LegalScope

LegalScope is a public metadata preview for a benchmark studying whether strong public legal-exam performance transfers to real-case legal analysis.

The benchmark pairs scalable public legal-exam tasks with lawyer-reviewed, de-identified Chinese civil-judgment analysis. This Hugging Face dataset page is kept intentionally small and public-safe: it mirrors the public metadata from the GitHub repository and does not publish the full benchmark workbook, full prompts, reference answers, model outputs, human review sheets, paper draft, or non-de-identified legal source materials.

GitHub repository: https://github.com/EternWang/LegalScope

Benchmark Snapshot

Component	Count
Public legal-exam questions	868
Real-case issue-stance prompts	76
Total dataset items	944
De-identified Chinese civil judgments	15
Legal issues extracted from judgments	38
Model groups evaluated	20
Public-exam model responses	17,360
Real-case model responses	1,520
Total dataset model responses	18,880
Human-validation responses	1,800

Files

data/metadata/dataset_summary.json
data/metadata/model_groups.csv
data/metadata/source_composition.csv

dataset_summary.json contains the public release boundary, benchmark module counts, aggregate response counts, and transfer-summary metrics.

model_groups.csv lists the 20 evaluated model groups.

source_composition.csv summarizes public-exam jurisdiction/domain composition and real-case legal-domain composition.

Evaluation Design

LegalScope has two tracks:

• Public legal exams: open-ended public legal-exam questions scored with a reference-aware 0-4 answer-match protocol.
• Chinese real cases: issue-stance prompts derived from de-identified Chinese civil judgments, scored across citation relevance, constraint extraction, and argument validity.

Human validation covers 80 public-exam items and 10 real-case prompts across the same 20 model groups, for 1,800 human-validation responses.

Intended Use

This public preview is intended for:

• understanding the benchmark design and release boundary;
• inspecting public-safe metadata and source composition;
• citing the public LegalScope artifact;
• coordinating access to the private benchmark materials where appropriate.

It is not intended for legal advice, legal decision support, training legal decision systems, or reconstructing withheld private data.

Public Release Boundary

This dataset repository does not include:

• the full benchmark workbook;
• complete prompt matrices;
• reference answers;
• model-output matrices;
• human review sheets or adjudication notes;
• paper draft, review PDF, or LaTeX source;
• non-de-identified judgments or private source documents.

The public files are sufficient to document scope, counts, metadata, and release boundaries, but they are not sufficient to reconstruct the full benchmark.

Citation

If you use this public preview, cite the GitHub repository and the released paper once a stable paper citation is available.

@misc{wang2026legalscope,
  title        = {LegalScope: Measuring Exam-to-Case Transfer in LLM Legal Reasoning},
  author       = {Wang, Hongyu},
  year         = {2026},
  howpublished = {\url{https://github.com/EternWang/LegalScope}},
  note         = {Public metadata preview}
}

Disclaimer

LegalScope is a research benchmark for model evaluation. It is not legal advice, a legal research product, or a substitute for jurisdiction-specific legal review.