PATENT CLAIM ANALYSIS

Application Number: 16031770
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["705", "007280"]

Abstract:
A governance, risk management, and compliance (GRC) computer system is provided that includes at least one processor, a user input device, and a storage system that stores meta-model. The meta-model includes at least one process element, a plurality of dynamic risk elements, and a plurality of dynamic control elements. The risk meta-model is loaded from the storage system. Input is accepted from the user input device for creating a new dynamic risk model based on the loaded extended risk meta-model. At least one process element is added to the new dynamic risk model based on user provided input and the extended risk meta-model. A first dynamic risk element is added from the plurality of dynamic risk elements based on user provided input. A risk type of the first dynamic risk element is determined based on user provided input.

Claim (Index 1):
A computer system that provides governance, risk management, or compliance functionality, the computer system comprising:\n a storage system configured to store an extended risk meta-model for an organization that includes (a) a plurality of object elements, (b) a plurality of dynamic risk elements, and (c) a plurality of dynamic control elements, the extended risk meta-model including a set of enforceable rules, for how dynamic risk models that are based on the extended risk meta-model can be created, the set of enforceable rules including a first relationship constraint and a second relationship constraint that is different from the first relationship constraint a processing system that includes at least one hardware processor, the processing system configured to:\n receive input for creating a new dynamic risk model based on the extended risk meta-model that is stored in the storage system; \n as part of the creating the new dynamic risk model, add, based on received input, an object element to the new dynamic risk model that is from the plurality of object elements included in the extended risk meta-model; \n as part of the creating the new dynamic risk model, add, based on received input, a first dynamic risk element from the plurality of dynamic risk elements of the extended risk meta-model to the new dynamic risk model; \n based on addition of the first dynamic risk element to the new dynamic risk model, automatically add a first link between the added first dynamic risk element and the added at least one object element, wherein the automatic addition of the first link is controlled based on the first relationship constraint of the extended risk meta-model; \n as part of the creating the new dynamic risk model, add, based on received input, a first dynamic control element that is from among the plurality of dynamic control elements of the extended risk meta-model, wherein the first dynamic control element includes a plurality of fields; \n based on addition of the first dynamic control element to the new dynamic risk model, automatically add a second link between the added first dynamic control element and the added first dynamic risk element, wherein the automatic addition of the second link is controlled based on based on the second constraint of the extended risk meta-model; and \n in response to a determination that a first field of the plurality of fields is set to a predetermined value, control a visibility of a second one of the plurality of fields of the first dynamic control element.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 95.0
- Lexical Diversity: 2.83333
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13835458', '14148708', '14049112', '12955745', '10605551']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0984594054817558
- 35 USC 102 Novelty (BERT): 0.5485919750514714
- Combined Prediction Score: 0.1434726624387274
- Mean Citation Score: 199.118916
- Max Citation Score: 396.45163
- Similarity Product: 328.5233049976737

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test