Relationship Mapping for IP Opportunity Detection

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Solution Overview

Problem

Identifying and capturing intellectual property produced in collaborative work environments is challenging due to the large number of individuals and projects, often resulting in missed opportunities for patent applications before public disclosure or other deadlines.

Innovation Solution

A computer-implemented method and system that analyze relationships between individuals and projects within a collaborative environment to estimate the likelihood of intellectual property production by identifying historical contributors, mapping relationships, and calculating probabilities based on individual and project metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual identification of intellectual property in collaborative environments is performed, then accuracy of identification may be improved, but time consumption and resource requirements increase significantly

Engineering Contradiction:

Improveaccuracy of IP identificationVSAvoidtime consumption for identification

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical identification processes with an automated computer system that uses machine learning models and data processing algorithms to identify intellectual property opportunities, thereby reducing time consumption while maintaining or improving identification accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary automated system that acts as a bridge between collaborative work environments and intellectual property identification, using relationship mapping and historical data analysis to facilitate accurate and efficient IP detection without requiring direct manual intervention

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive monitoring of all individuals and projects is implemented, then completeness of IP capture is improved, but system complexity and computational resources increase

Engineering Contradiction:

Improvecompleteness of IP captureVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the monitoring system into modular components including relationship mapping modules, historical data analysis modules, and probability calculation modules, allowing comprehensive monitoring to be achieved through coordinated simple modular units rather than a single complex system

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes parameters by focusing monitoring efforts on high-probability targets identified through relationship mapping and historical analysis, rather than uniformly monitoring all individuals and projects, thereby achieving reliable IP capture with reduced system complexity

Inventive Principle:

Principle #35Parameter changes

3Loss of time

If early identification of IP opportunities is performed, then time for patent filing is improved, but risk of false positives increases

Engineering Contradiction:

Improvetime for patent filingVSAvoidaccuracy of IP opportunity identification

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The patent implements feedback mechanisms where the system continuously learns from actual patent filing outcomes and adjusts its probability calculations and relationship mapping parameters, allowing early identification of IP opportunities while reducing false positives through iterative refinement of detection accuracy

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent performs preliminary relationship mapping and historical analysis in advance to prepare probability calculations for potential IP opportunities, enabling early identification with improved accuracy by having pre-computed data and models ready before actual IP detection is needed

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20220012831A1System and method for analyzing collaborative environments to identify probability of invention

Publication Date: 2022.01.13 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

Systems and methods for estimating the likelihood that an individual or project in a collaborative environment will produce intellectual property are provided. A plurality of relationships that exist between individuals in a collaborative environment may be identified and mapped by one or more processors. In particular, the individuals in the collaborative environment who have historically produced intellectual property may be indicated within the context of the map. Based on a particular individual's mapped relationships to one or more other individuals in the collaborative environment who have historically produced intellectual property, a probability that the particular individual will produce intellectual property may be calculated. Additionally, one or more projects (e.g., including individuals having relationships with one another) may be identified within the context of the map. Based on the individuals in a project who have historically produced intellectual property, a probability that the project will produce intellectual property may be calculated.