Federated Collaboration Architecture for Secure IP Agreement Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current entity collaboration is ad hoc and labor-intensive, lacking computer-based solutions for discovering and fostering teaming relationships, managing legal agreements, and ensuring secure data sharing, which often leads to adversarial relationships and inefficiencies.
Innovation Solution
An architecture that enables entity-to-entity collaboration through business data flow modeling, legal negotiations, secure communications, and decentralized storage, using privacy-enhancing technologies and large language models to generate legal agreements and manage data sharing, while maintaining control over data ownership.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used for entity collaboration discovery and management, then flexibility and customization are maintained, but labor intensity and time consumption increase significantly
Solution Approach 1:
The system enables entities to automatically discover collaboration opportunities, negotiate agreements, and establish collaborations through automated processes. The entity collaboration system performs self-service by autonomously matching entities based on their collaboration needs, capabilities, and constraints without requiring manual intervention for each step of the collaboration establishment process.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computer-based systems. Specifically, it substitutes human-driven collaboration discovery, negotiation, and management with an automated entity collaboration system that uses algorithms to match entities, generate agreements, and monitor compliance, thereby reducing labor intensity and time consumption.
2Loss of information
If traditional collaboration services are used without specialized modeling, then implementation simplicity is maintained, but ability to identify SMEs, decision makers, and relevant policies is lost
Solution Approach 1:
The entity collaboration system performs multiple functions within a single integrated platform: it discovers collaboration opportunities, identifies subject matter experts and decision makers, models data flows between entities, negotiates legal agreements, establishes secure communications, and monitors compliance. This multi-functional approach prevents information loss while managing complexity through integration rather than separate specialized systems.
Solution Approach 2:
The patent introduces an intermediary entity collaboration system that acts as a mediator between entities. This intermediary performs specialized functions such as identifying SMEs, modeling data flows, and managing legal agreements, thereby preserving governance information without requiring each entity to independently implement complex governance capabilities.
3Productivity
If manual monitoring of NDA and PIA violations is performed, then detection accuracy can be maintained through human judgment, but productivity and speed of violation detection decrease
Solution Approach 1:
The system replaces manual monitoring of NDA and PIA violations with automated computer-based monitoring. The entity collaboration system automatically detects violations by analyzing data flows and communications between entities against the terms of legal agreements, thereby increasing detection speed while maintaining accuracy through systematic algorithmic analysis rather than human judgment.
Solution Approach 2:
The patent implements continuous monitoring and feedback mechanisms that automatically detect violations and provide real-time alerts. The system continuously analyzes entity interactions against legal agreement terms and provides immediate feedback when violations are detected, enabling rapid response while maintaining high detection accuracy through ongoing automated surveillance.
4Reliability
If ad hoc collaboration processes are used, then adaptability to different situations is maintained, but consistency and reliability of collaboration outcomes deteriorate
Solution Approach 1:
The patent segments the collaboration process into standardized, repeatable stages: entity discovery, capability matching, agreement negotiation, secure communication establishment, and compliance monitoring. Each stage follows defined processes and criteria, ensuring consistent and reliable outcomes while maintaining adaptability through configurable parameters and entity-specific constraints within the standardized framework.
Data Source
AI summary
Systems, devices, methods, and computer-readable media for secure, federated collaboration are provided. A method can include responsive to issuing an acceptance of an enrollment request, providing, by a collaboration architecture, software programs including first and second machine learning (ML) models and collaboration services to the first collaborator, the first ML model trained to monitor an intellectual property (IP) repository of the first collaborator for changes to data stored thereon, the second ML model trained based on IP goals of the second collaborator, receiving, from the second collaborator, a communication indicating interest in the IP associated with IP data of the first collaborator, responsive to receive the communicating indicating interest, prompting a large language model (LLM), to generate a collaboration agreement regarding the IP data that changed, and receiving an executed collaboration agreement at the collaboration architecture.