Langhui

Judicial Case Matching and Analysis Dataset

1M+ paired judicial documents · civil, criminal, and administrative

1M+
Case pairing team
3
6
Document Type
12+

Dataset Overview

Dimension Description Details
Total Data Volume1 million+ paired documents2-6 related documents per pair
70% civil/criminal, 20% administrative, 10%Coverage of mainstream cases by type and cause
Review levelFirst instance/second instance/retrialAbout 60% at first instance/approximately 35% at second instance/about 5% at retrial
Document TypeSix core instrumentsIndictments/responses/judgments/decisions/conciliation/pleadings
ComplexityLevel 3ComplexitySimple/generally complex/highly complex, assessed by a combination of the number of parties, focus of disputes, etc.
12+core elementsCase by/thing/party/applicable article/focus of dispute/type of evidence/judgment, etc.
Data FormatJSON / JSONL / CSVDe-identification and post-delivery

Dataset fields and definitions

Basic case information

ID matching, type of case, case, case, trial level, court name, date of case, party information (de-identified)

File

Document ID, type of instrument, full text, date of document, number of pages of document

Case-element labels

Focus of the dispute, applicable law, type of evidence, scope of the claim, claim

Judgment information

Results of judgment, winning party, amount awarded, rate of support, status of appeal

Program Information

Length of proceedings, type of proceedings, public hearings, conciliation

Complexity dimensions

Number of parties, number of points of contention, number of legal relationships, number of procedural issues

Data Sample

{ "pair_id": "PAIR-2024-CV-0008521", "case_type": "[]", "cause_of_action": "[]", "trial_level": "[]", "complexity_level": "[]", "complexity_factors": { "party_count": 3, "dispute_focus_count": 2, "legal_relations": ["[]", "[]"], "applicable_laws": ["Civil Code contract[]595[]", "[]Law[]"], "evidence_types": ["[]", "[]", "[]data"], "claim_amount": "50[]-1 Million" }, "documents": [ { "doc_id": "DOC-CV-2024-08521-001", "doc_type": "[]", "court_name": "[Shenzhen Nanshan People's]Law[]", "filing_date": "2024-03-15", "full_text": "[]:[]([de-identified])...([]5000[])" }, { "doc_id": "DOC-CV-2024-08521-002", "doc_type": "[]", "court_name": "[Shenzhen Nanshan People's]Law[]", "filing_date": "2024-04-20", "full_text": ":XXCompany...(2800)" }, { "doc_id": "DOC-CV-2024-08521-003", "doc_type": "[]", "court_name": "[Shenzhen Nanshan People's]Law[]", "filing_date": "2024-06-10", "judgment_result": "[]Support", "award_amount": "[]XX[]", "full_text": "[]...([]6000[])" } ], "case_elements": { "claims": ["[]", "[]", "[]"], "defenses": ["Productsquality[]", "[]", "[]"], "key_issues": ["[]quality[]", "[]"], "judgment_summary": "Lawquality,XX;," } }

AI Application Scenarios

Forecast of legal decisions

Projection of the outcome of the case and the amount of the award based on the elements of the case and historical judgments

Case-type intelligence search

Precision in the search for decisions in similar cases based on syntax matching of the case

The memorial is automatically generated.

Indictments/responses based on the elements of the case, automatically generated in a format-standardized form

Analysis of litigation strategies

Analysis of key factors and strategy recommendations based on historical case pairing

Search and Discovery

Judicial case dataset Forecast data on legal decisions Case-related search training Matching of judicial instruments Generating the legal instrument Case-element labels Legal AI Training Data Judgement data LegalNLPCorpora Data on million cases Intelligence justice data Court clerical material

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