Contract AI Conceptual Data Model (CDM)
Jump to navigation
Jump to search
A Contract AI Conceptual Data Model (CDM) is an AI conceptual data model that is a contract AI systems.
- Context:
- It can be a data model that abstractly represents the data elements specific to artificial intelligence algorithms used for analyzing and processing contracts.
- Example(s):
- Counter-Example(s):
- See: Contract AI System, Conceptual Data Model, Enterprise Data Model, Data Ontology, AI Data Architecture, Legal Document Ontology, Contract Law.
References
2023
- (GM-RKB ChatGPT, 2023) ⇒ Summarize the concept Contract AI Conceptual Data Model (CDM) in 1- 2 paragraphs, promt.GM-RKB ChatGPT (model: gpt-4-1106-preview) Retrieved: 2023-12-24.
- QUOTE: The Contract AI Conceptual Data Model (CDM) is a framework designed to represent the diverse elements and relationships found within contracts in a format that is understandable by artificial intelligence systems. The CDM typically provides a structured, abstract representation of the data involved in contracts, such as parties, terms, obligations, entitlements, and compliance requirements. The purpose of this model is to facilitate the automation of contract management, analysis, and compliance processes by converting complex contract language and provisions into a form that AI algorithms can process and understand.
By using a Conceptual Data Model, AI systems can be better equipped to identify, extract, and interpret the relevant information from contractual documents. This allows for enhanced capabilities in tasks such as risk assessment, semantic searches, due diligence procedures, and even automatic generation or negotiation of contract drafts. Adoption of the CDM in AI applications aims to reduce the time and errors associated with manual contract review and provides a basis for more sophisticated analytics, decision making, and business intelligence surrounding contractual relationships and obligations.
- QUOTE: The Contract AI Conceptual Data Model (CDM) is a framework designed to represent the diverse elements and relationships found within contracts in a format that is understandable by artificial intelligence systems. The CDM typically provides a structured, abstract representation of the data involved in contracts, such as parties, terms, obligations, entitlements, and compliance requirements. The purpose of this model is to facilitate the automation of contract management, analysis, and compliance processes by converting complex contract language and provisions into a form that AI algorithms can process and understand.