PATENT CLAIM ANALYSIS

Application Number: 16055984
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["717", "101000"]

Abstract:
In various embodiments, fulfilling a data subject access request may be particularly costly. In some embodiments, a company may store data regarding a particular data subject in multiple different locations for a plurality of different reasons as part of a plurality of different processing and other business activities. For example, a particular data subject may be both a customer and an employee of a particular company or organization. Accordingly, in some embodiments, fulfilling a data subject access request for a particular data subject may involve a plurality of different information technology (IT) professionals in a plurality of different departments of a particular company or organization. As such, it may be useful to determine a cost of a particular data subject access request (e.g., particularly because, in some cases, a data subject is entitled to a response to their data subject access request as a matter of right at no charge).

Claim (Index 16):
The computer-implemented data processing method of  claim 13 , wherein the one or more request parameters include one or more parameters selected from a group consisting of:\n a requestor for the data subject access request; and a type for the data subject access request.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 96.0
- Lexical Diversity: 2.3662
- Patent Class: 717.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16055944', '16055961', '16054780', '15996208', '16055998']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.43792688012861
- 35 USC 102 Novelty (BERT): 0.5141328995212101
- Combined Prediction Score: 0.44554748206787
- Mean Citation Score: 271.900402
- Max Citation Score: 287.8024
- Similarity Product: 233.7585328847408

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

Dataset: test