Automated Patent Application Generation via Document Plan Inference

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems lack efficiency in automatically generating patent applications that follow a consistent document plan and formatting, especially when dealing with previously unseen patent claims that are not present in existing documents.

Innovation Solution

A system and method that utilize machine-readable instructions and computerized natural language generation to create a new patent application based on a document plan inferred from example documents, including identifying common formatting features and language, and using machine learning models to generate content consistent with the example documents.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual patent drafting is used, then document quality and consistency are maintained, but productivity and time consumption are reduced

Engineering Contradiction:

Improvepatent drafting efficiencyVSAvoidtime for patent creation

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system copies the document plan structure from example patent documents to generate new patent applications. It extracts the organizational framework, section headings, and formatting patterns from existing documents and applies them to new claim sets, enabling rapid reproduction of consistent document structures without manual drafting for each patent.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system performs self-service by automatically generating patent application documents from claim sets using machine learning models. The document plan determination module autonomously analyzes example documents, extracts formatting features, and creates the document structure without human intervention, allowing the system to serve its own document generation needs efficiently.

Inventive Principle:

Principle #25Self-service

2Productivity

If automatic document generation is implemented, then productivity is improved, but adaptability to new claim formats and consistency with existing documents deteriorates

Engineering Contradiction:

Improveautomated patent creation speedVSAvoidability to handle unseen patent claims

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary action by pre-processing example patent documents to extract and store document plan information, formatting features, and language patterns before encountering new claim sets. The document plan determination module prepares template structures and formatting rules in advance, enabling rapid adaptation to new claims while maintaining consistency with established document conventions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies parameter changes by adjusting the document generation parameters based on the specific characteristics of new claim sets. The machine learning models modify formatting parameters, section structures, and language styles to match the inferred document plan from example documents, enabling flexible adaptation to different claim formats while maintaining overall document consistency.

Inventive Principle:

Principle #35Parameter changes

3Stability of the object's composition

If document plan inference from example documents is used, then formatting consistency is improved, but device complexity and processing requirements increase

Engineering Contradiction:

Improvedocument formatting consistencyVSAvoidsystem complexity for document plan inference

Core Design Contradiction:

Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The system segments the document generation process into distinct modules: example document processing, document plan determination, claim set analysis, and document assembly. Each module handles a specific aspect of the generation process, making the overall complex system manageable and maintainable while achieving consistent formatting through coordinated module operation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The document plan determination module serves as an intermediary between example documents and new patent applications. It extracts formatting features and structural patterns from examples, creates an intermediate document plan representation, and uses this plan to guide the generation of new documents, thereby ensuring formatting consistency without requiring direct complex processing between all system components.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10747953B1Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document

Publication Date: 2020.08.18 PAXIMAL INC

AI summary

Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document are disclosed. Exemplary implementations may: obtain one or more example documents, a given example document including a patent document; identify common formatting features among the one or more example documents; determine a document plan for a patent application based on information gained from the one or more example documents; receive one or more previously unseen patent claims; and use computerized natural language generation to automatically create a new patent application based on both the document plan and the one or more patent claims such that the new patent application reflects subject matter of the one or more patent claims and is otherwise consistent with the one or more example documents.