Commercial Litigation Discovery Document Understanding Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset covers commercial litigation discovery documents, including interrogatories, requests for production, requests for admission, responses, objections, and supplemental responses. It focuses on analyzing the scope of requests, response positions, grounds for objections, reservations, and disputed issues, with fields for extracting item-level details and case context. It supports legal document analysis, legal technology development, and domain-specific evaluation of document understanding and information extraction models.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| objections | array | Individual objections extracted from the document, including their scope, legal grounds, and effect on the response. |
| case_context | object | Case background extracted from the document, including the case name, jurisdiction, parties, and discovery stage. |
| reservations | array | Reservations made by the responding party concerning further searches, supplemental responses, changes in position, privilege claims, or other rights. |
| document_type | string | The discovery document type identified from the source text. |
| discovery_items | array | Discovery items separated by request or number, with the scope of each request and its corresponding response, objections, and reservations. |
| disputed_issues | array | Unresolved discovery issues identified in the document that may lead to negotiation, motion practice, or a court ruling. |
| document_summary | string | A summary of the document's request scope, overall response position, principal objections, reservations, and disputed issues. |
| raw_document_text | string | The source text of a discovery document to be analyzed, which may contain requests, responses, objections, reservations, and supplemental responses. |
| supplemental_response | object | Whether the document provides supplemental, amended, or corrected responses, and what has changed from prior responses. |
| overall_response_position | string | The responding party's overall position on the discovery requests, based on the full document. |
Trust
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
FAQ
Frequently Asked Questions
- What types of documents are included?
- The dataset covers discovery documents such as interrogatories, requests for production, requests for admission, responses, objections, and supplemental responses. It focuses on each request and the corresponding response.
- Which analysis tasks can the dataset support?
- It can support document type classification, case context extraction, discovery item analysis, overall response position identification, and the identification of objections, reservations, and unresolved disputes. Confirm suitability against the field definitions and sample content.
- How can I obtain the dataset and review its license?
- Check the dataset product page for available access methods, delivery specifications, and license terms. Before use, confirm that the license covers your intended research, development, or commercial activities.
- Is the dataset intended for direct legal decision-making?
- The dataset is intended for legal document understanding evaluation and related model development. It is not legal advice and should not replace review of case materials by a qualified legal professional.
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Cite this Work
@dataset{Mobiusi2026,
title={Commercial Litigation Discovery Document Understanding Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/fc011f0ab2fff7db0d06987f591e6626?cate=3},
urldate={2026-10-15},
keywords={commercial litigation dataset,discovery document analysis,legal document understanding,litigation document analysis,legal information extraction,objection identification,response position analysis,legal model evaluation},
version={1.0}
}Using this in research? Please cite us.