PATENT CLAIM ANALYSIS

Application Number: 16505430
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-10
Patent Classification: ["717", "101000"]

Abstract:
In particular embodiments, in response a data subject submitting a request to delete their personal data from an organization's systems, the system may: (1) automatically determine where the data subject's personal data is stored; and (2) in response to determining the location of the data (which may be on multiple computing systems), automatically facilitate the deletion of the data subject's personal data from the various systems (e.g., by automatically assigning a plurality of tasks to delete data across multiple business systems to effectively delete the data subject's personal data from the systems).

Claim (Index 4):
The computer-implemented data processing method of  claim 3 , the method further comprising:\n accessing, by one or more processors, the data model, the data model defining:\n at least one storage location utilized in the storage of a plurality of personal data as part of a processing activity; \n at least one transfer location to which the at least one storage location transfers the plurality of personal data; and \n scanning, by one or more processors, using a unique identifier associated with the data subject, the plurality of personal data to identify the personal data associated with the data subject.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 100.0
- Lexical Diversity: 2.01818
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16054780', '16055998', '16278120', '16159635', '16410566']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3768086975252701
- 35 USC 102 Novelty (BERT): 0.5381781360515902
- Combined Prediction Score: 0.3929456413779021
- Mean Citation Score: 297.544658
- Max Citation Score: 352.2904
- Similarity Product: 269.34724765105244

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test