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US11,234,567 — Claims Analysis
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US10,234,567
Machine learning classification...
US9,876,543
Neural network training...
EP3,456,789
Data processing method...
US11,234,567 — Claims
1.
A method for analyzing patent documents comprising: receiving a patent document; extracting claim language...
2.
The method of claim 1, wherein the analyzing further comprises identifying dependent claims...
3.
The method of claim 2, further comprising generating a claim tree visualization...
AI Analysis
Claim dependency analysis:
Claims 2-5 depend on Claim 1. Claims 6-8 form an independent chain.
Sources cited
US10,234,567 ¶[0045]
EP3,456,789 Claim 3
Document Viewer
Abstract
A system and method for intelligent patent analysis using machine learning techniques to identify prior art references and analyze claim scope...
Claim Comparison
Source
US11,234,567
Reference
US10,234,567
78% semantic similarity detected in independent claims
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Prior Art Search
machine learning image classification neural network
US10,234,567 98% match

Deep learning system for real-time image classification...

2023
EP3,456,789 94% match

Convolutional neural network for pattern recognition...

2022
WO2021/123456 87% match

Training method for image classification models...

2021
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Claim Editor
1.
A method for processing patent documents comprising:

receiving a patent document in electronic form;

extracting claim language using natural language processing;

analyzing the extracted claims to identify...

AI Suggestion

Consider adding a dependent claim for the machine learning model architecture to strengthen protection scope.

2.

The method of claim 1, wherein the natural language processing comprises...

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    Flags potential conflicts as you write

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Analysis Report

Novelty Assessment

Analyzing claim 1 against prior art

The claimed method for "real-time image classification using federated learning" shows potential novelty concerns. The combination of federated learning with image classification has been disclosed in prior art , however the specific approach to gradient aggregation appears distinct .

The privacy-preserving mechanism in step (c) closely mirrors the approach in and may require claim amendment to distinguish.

Cited Sources 3 references

US10,234,567

¶[0045], ¶[0052]

EP3,456,789

Claims 3, 7

WO2021/098765

Description p.12

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