Confidential Information Exception Clause Evidence Retrieval Dataset

#legal evidence retrieval #clause-level evidence matching #confidentiality boundary analysis #NDA confidentiality exception review #contract clause analysis #legal evidence retrieval

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset focuses on exceptions to confidentiality obligations, covering information that is publicly available, already known, independently developed, or lawfully obtained from a third party. It includes scenario-based retrieval questions, evidence excerpts, and source information, organized around exception criteria, proof requirements, and limits of applicability. The data supports legal authority retrieval, evidence assessment, and knowledge grounding for retrieval-augmented generation systems.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
raw_record	object	Preserves the original categories, clauses, questions, evidence, and source information needed for exception-clause evidence retrieval.
boundary_analysis	object	Analyzes the applicability conclusion, boundary conditions, and potential risks of an exception clause in the given scenario.
exception_elements	array	Exception criteria, legal effects, and factual indicators extracted from clauses and evidence.
proof_requirements	array	Matters to prove, acceptable evidence, verification methods, and current support status summarized from clauses, questions, and evidence.
evidence_assessment	object	Evaluates the relevance, sufficiency, and probative role of evidence excerpts in relation to retrieval questions and exception clauses.
retrieval_annotation	object	Converts scenario-based questions into intent, keywords, and answer priorities for retrieval and knowledge grounding.
normalized_exception_type	string	The confidentiality exception type normalized from the original clause content.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

Which confidentiality exceptions are covered?: The dataset covers common exceptions for publicly available information, information already known to the receiving party, independently developed information, and information lawfully obtained from a third party. It includes related clauses, scenario-based questions, and evidence excerpts.

How does the dataset support evidence retrieval and analysis?: Structured elements include exception criteria, proof requirements, evidence assessments, boundary analyses, and retrieval annotations. These can help retrieve relevant support and assess how evidence relates to a question or clause.

Which legal workflows can use this dataset?: It is suited to NDA review, contract due diligence, legal research, and compliance review. It can also support the development or evaluation of retrieval-augmented generation systems for legal documents.

How is the dataset structured, and what about access and licensing?: The fields include raw records, normalized exception types, exception elements, proof requirements, evidence assessments, boundary analyses, and retrieval annotations. Refer to the provider for current access methods and licensing terms.

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Cite this Work

@dataset{Mobiusi2026,
  title={Confidential Information Exception Clause Evidence Retrieval Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/2309832a2d82208ba7480692fef96095},
  urldate={2026-10-15},
  keywords={confidentiality exception clauses,NDA dataset,legal evidence retrieval,public information exception,independent development exception,lawfully obtained third-party information,proof requirements,legal retrieval-augmented generation},
  version={1.0}
}

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