Evidence Retrieval Dataset for Permitted Disclosures under Non-Disclosure Agreements
#legal evidence retrieval #clause-to-fact matching #disclosure condition identification #NDA disclosure review #confidentiality obligation analysis #permitted disclosure assessment
- 5000
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset focuses on NDA provisions governing permitted recipients, the need-to-know principle, recipient confidentiality obligations, professional advisers, and affiliates. It pairs fact questions about disclosure scenarios with supporting clause evidence, covering recipients, purposes, conditions, conclusions, and reasoning. It supports evaluation of legal evidence retrieval and clause-grounded responses, as well as NDA review and retrieval-augmented generation.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| fact_question | string | Describes the specific disclosure, recipient, purpose, and relevant facts, and asks whether the disclosure is permitted under the NDA. |
| disclosure_target | string | Identifies the actual recipient of the confidential information based on the fact question, such as an affiliate, director, officer, employee, professional adviser, or other third party. |
| necessary_to_know | boolean | Indicates whether the recipient needs to know the confidential information to perform duties, provide professional services, or complete matters related to the agreement. |
| reasoning_summary | string | Briefly explains the legal reasoning behind the disclosure permission conclusion by combining the facts, agreement conditions, and supporting clauses. |
| source_legal_text | string | The original NDA, relevant clauses, or other legal text to be searched and used as the source of supporting evidence. |
| disclosure_purpose | string | Summarizes why the confidential information is disclosed and whether the purpose relates to a use permitted by the agreement. |
| recipient_category | string | Summarizes the recipient's identity or category under the agreement. |
| permission_conclusion | string | States whether the disclosure is permitted under the NDA, based on the fact question and supporting clauses. |
| permission_conditions | array | Lists any additional conditions required for the disclosure to be permitted, such as limiting disclosure to what is necessary, requiring recipient confidentiality obligations, or restricting the purpose. |
| supporting_clause_evidence | array | Lists agreement clauses or other legal evidence supporting the conclusion, including excerpts, clause locations, and their relevance to the fact question. |
| professional_adviser_or_affiliate | boolean | Indicates whether the recipient is a professional adviser, affiliate, or other category expressly permitted by the agreement. |
| recipient_bound_by_confidentiality | boolean | Indicates whether the recipient is subject to confidentiality obligations at least as protective as those in the original agreement, professional duties of confidentiality, or another binding confidentiality arrangement. |
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
- What does the dataset cover?
- It focuses on permitted disclosures under NDAs, including fact questions, disclosure recipients and purposes, need-to-know assessments, recipient confidentiality obligations, applicable conditions, conclusions, and supporting clause evidence.
- Which tasks can the dataset support?
- It can support legal clause retrieval, fact-to-clause matching, NDA question answering, and evaluation of retrieval-augmented generation systems, especially for assessing whether a specific disclosure complies with an agreement.
- What is the dataset size and how is quality specified?
- The provided schema defines fields for questions, conditions, evidence, and reasoning summaries, but does not specify sample counts or quality metrics. Check the delivery version for dataset size, field completeness, and evidence citation conventions.
- How can the dataset be obtained, and what licensing limits apply?
- Access methods, license scope, and permitted uses are determined by the product page or delivery agreement. Verify usage rights for any source texts before training or research. Retrieved results can assist legal analysis but do not replace advice from a qualified lawyer or formal legal review.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Evidence Retrieval Dataset for Permitted Disclosures under Non-Disclosure Agreements},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/151df43075bbd9abec784138220b69bb},
urldate={2026-10-15},
keywords={NDA dataset,permitted disclosure clauses,legal evidence retrieval,confidential information disclosure,need-to-know principle,contract clause matching,legal RAG data,confidentiality obligation analysis},
version={1.0}
}Using this in research? Please cite us.
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