IP Library Granted Patent US 11,816,740
Granted Patent B2
US 11,816,740 · App. 17/994,902 · Granted Nov 14, 2023

Systems for generation of liability protection policies

Inventors: Nicholas Joseph Chmielewski (Chicago, IL); Derek Charles Lietz (Boston, MA); Lewis C. Lee (Seattle, WA); Daniel Crouse (Seattle, WA)
Assignee: AON RISK SERVICES, INC. OF MARYLAND
G06Q40/08G06Q50/184
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Quick Facts
Patent No.
US 11,816,740
App. No.
17/994,902
Granted
Nov 14, 2023
Kind
B2
Abstract

Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.

Claims (121)

1. A system, comprising:

one or more processors; and

non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

receiving a request for an insurance quote to insure a entity against a claim of intellectual property infringement;

receiving information indicating a characteristic of the entity, the information including at least one of:

business information;

intellectual property information; or

legal claim information;

generating, based at least in part on the information, characteristic data associated with the characteristic of the entity;

training a machine learning model configured to determine infringement exposure values associated with entities utilizing a training dataset including historical policy performance metrics such that a trained machine learning model is generated to weight characteristics of the entities;

determining, based at least in part on the characteristic data and utilizing the trained machine learning model, an infringement exposure value associated with the entity;

receiving feedback data associated with the infringement exposure value;

determining, based at least in part on the infringement exposure value and the feedback data, a cost for insuring the entity against the claim of intellectual property infringement;

determining at least one term of an insurance policy associated with the entity, the insurance policy including at least the cost;

automatically generating policy data representing the insurance policy including the at least one term, the automatic generation of the policy data based at least in part on the characteristic data, the infringement exposure value, and the feedback data, and the automatic generation of the policy data performed absent user input and utilizing prior policy data generated in association with a prior insurance policy; and

sending the policy data to a device, the policy data causing the device to display the insurance policy along with functionality for accepting the insurance policy.

2. The system of claim 1 , wherein determining the infringement exposure value comprises determining the infringement exposure value based at least in part on a revenue source associated with the entity.

3. The system of claim 1 , wherein:

the business information includes at least an industry classification, a number of employees, or a revenue value;

the intellectual property information includes at least one of:

a number of intellectual property assets associated with the entity;

a type of intellectual property of individual ones of the intellectual property assets;

a licensing agreement associated with at least one of the intellectual property assets; or

a second insurance policy associated with the at least one of the intellectual property assets; and

the legal claim information includes at least one of:

a litigation history associated with the entity;

information associated with infringement allegations asserted against the entity; or

resolution information including at least one of settlement terms, damages, or information indicating whether the entity prevailed.

4. The system of claim 1 , wherein the at least one term of the insurance policy includes at least one of:

a reimbursement provision covering a cost associated with defending against the claim of intellectual property infringement;

a settlement cost;

a damages cost;

legal costs; or

an indemnity cost.

5. The system of claim 1 , the operations further comprising:

determining a first liability cost associated with the entity, wherein the first liability cost represents a first cost which the entity is responsible for in defense of an infringement allegation;

determining a second liability cost associated with an insurer, wherein the second liability cost represents a second cost which the insured is responsible for in the defense of the infringement allegation; and

wherein the at least one term includes the first liability cost and the second liability cost.

6. The system of claim 1 , wherein receiving the information indicating the characteristic of the entity comprises:

causing display of a graphical entity interface to the entity, the graphical entity interface including an element configured to receive input data associated with the information; and

receiving the input data, the input data including at least the information.

7. The system of claim 1 , wherein:

receiving the information indicating the characteristic of the entity comprises:

accessing one or more databases having first data associated with the entity;

identifying a given characteristic for which second data is unavailable in the one or more databases;

sending, based at least in part on identifying the given characteristic, an intake document including an element requesting the second data; and

receiving the second data; and

determining the characteristic data comprises determining the characteristic data based at least in part on the second data.

8. A method comprising:

receiving a request for an insurance quote to insure a entity against a claim of intellectual property infringement;

receiving information indicating a characteristic of the entity, the information including at least one of:

business information;

intellectual property information; or

legal claim information;

generating, based at least in part on the information, characteristic data associated with the characteristic of the entity;

training a machine learning model configured to determine infringement exposure values associated with entities utilizing a training dataset including historical policy performance metrics such that a trained machine learning model is generated to weight characteristics of the entities;

determining, based at least in part on the characteristic data and utilizing the trained machine learning model, an infringement exposure value associated with the entity

receiving feedback data associated with the infringement exposure value;

determining, based at least in part on the infringement exposure value and the feedback data, a cost for insuring the entity against the claim of intellectual property infringement;

determining at least one term of an insurance policy associated with the entity, the insurance policy including at least the cost;

automatically generating policy data representing the insurance policy including the at least one term, the automatic generation of the policy data based at least in part on the characteristic data, the infringement exposure value, and the feedback data, and the automatic generation of the policy data performed absent user input and utilizing prior policy data generated in association with a prior insurance policy; and

sending the policy data to a device, the policy data causing the device to display the insurance policy along with functionality for accepting the insurance policy.

9. The method of claim 8 , wherein determining the infringement exposure value comprises:

causing display of a graphical entity interface to the entity, the graphical entity interface including an element configured to receive input data associated with at least one of the business information, the intellectual property information, or the legal claim information; and

receiving the input data.

10. The method of claim 9 , wherein:

the business information includes at least an industry classification, a number of employees, or a revenue value;

the intellectual property information includes at least one of:

a number of intellectual property assets associated with the entity;

a type of intellectual property of individual ones of the intellectual property assets;

a licensing agreement associated with at least one of the intellectual property assets; or

a second insurance policy associated with the at least one of the intellectual property assets; and

the legal claim information includes at least one of:

a litigation history associated with the entity;

information associated with infringement allegations asserted against the entity; or

resolution information, the resolution information including at least one of settlement terms, damages, or whether the entity prevailed.

11. The method of claim 8 , further comprising:

receiving, from at least one of a device associated with an insurer or at least one insurer, the feedback data associated with the infringement exposure value.

12. The method of claim 11 , further comprising:

receiving a first indication of acceptance of the insurance policy by the entity;

receiving a second indication of acceptance of the insurance policy by the insurer; and

in response to receiving the first indication and the second indication, issuing the insurance policy.

13. The method of claim 11 , further comprising:

determining a first liability cost associated with the entity, wherein the first liability cost represents a first cost which the entity is responsible for in defense of an infringement allegation;

determining a second liability cost associated with the insurer, wherein the second liability cost represents a second cost which the insurer is responsible for in the defense of the infringement allegation; and

wherein the insurance policy further includes the first liability cost and the second liability cost.

14. The method of claim 8 , wherein the at least one term of the insurance policy includes at least one of:

a reimbursement provision covering a cost associated with defending against the claim of intellectual property infringement;

a settlement cost;

a damages cost;

legal cost; or

an indemnity cost.

15. A system comprising:

one or more processors; and

non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

receiving a request for an insurance quote to insure at least one entity against a claim of intellectual property infringement;

receiving information indicating a characteristic of the at least one entity, the information including at least one of:

business information;

intellectual property information; or

legal claim information;

generating, based at least in part on the information, characteristic data associated with the characteristic of the at least one entity;

training a machine learning model configured to determine infringement exposure values associated with entities utilizing a training dataset including historical policy performance metrics such that a trained machine learning model is generated to weight characteristics of the entities;

analyzing characteristic data associated with one or more of the entities to determine one or more exposure values associated with individual entities of the one or more entities, the one or more exposure values associated with the claim of intellectual property infringement;

identifying, based at least in part on the one or more exposure values, an entity of the one or more entities having an exposure value below an exposure value threshold;

receiving feedback data associated with the exposure value;

determining, based at least in part on the exposure value and the feedback data, a preliminary cost for insuring the entity;

determining an insurance policy indication associated with the entity, the insurance policy indication including at least the preliminary cost for insuring the entity;

automatically generating policy data representing the insurance policy indication including the preliminary cost, the automatic generation of the policy data based at least in part on the characteristic data, the exposure value, and the feedback data, and the automatic generation of the policy data performed absent user input and utilizing prior policy data generated in association with a prior insurance policy; and

sending the policy data to a device, the policy data causing the device to display the insurance policy indication along with functionality for accepting the insurance policy indication.

16. The system of claim 15 , wherein the insurance policy indication requests second information associated with the characteristic data.

17. The system of claim 16 , the operations further comprising:

receiving the input data associated with the information;

analyzing the information to determine a final cost for insuring the entity; and

determining at least one term of an insurance policy associated with the entity, the term of the insurance policy including at least the final cost.

18. The system of claim 17 , wherein analyzing the information to determine the final cost for insuring the entity comprises:

analyzing the information to determine additional characteristic data associated with the characteristic;

analyzing the characteristic data and the additional characteristic data to determine an additional exposure value associated with the entity; and

determining, based at least in part on the additional exposure value, a final cost for insuring the entity.

19. The system of claim 18 , the operations further comprising:

receiving, from at least one of a device associated with an insurer or the insurer, additional feedback data associated with the additional exposure value; and

wherein determining the final cost for insuring the entity is further based at least in part on the additional feedback data.

Assignments (3)
CORRECTIVE ASSIGNMENT TO CORRECT THE INCORRECT APPLICATION NUMBER 18600587 TO 18600577 PREVIOUSLY RECORDED ON REEL 68257 FRAME 644. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded May 29, 2025
From: AON RISK SERVICES, INC. OF MARYLAND
To: MOAT METRICS, INC. DBA MOAT
Reel/Frame 071480/0571 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 9, 2024
From: AON RISK SERVICES, INC. OF MARYLAND
To: MOAT METRICS, INC. DBA MOAT
Reel/Frame 068257/0644 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 16, 2023
From: CHMIELEWSKI, NICHOLAS JOSEPH; LIETZ, DEREK CHARLES; LEE, LEWIS C.; CROUSE, DANIEL
To: AON RISK SERVICES, INC. OF MARYLAND
Reel/Frame 062720/0767 →
Continuity (3)
Continuation 16542799 · Aug 16, 2019
Provisional Application 62855550 · May 31, 2019
Related Publication 20230169600A1 · Jun 1, 2023