PATENT CLAIM ANALYSIS

Application Number: 16278122
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["717", "101000"]

Abstract:
In various embodiments, an organization may be required to comply with one or more legal or industry requirements related to the storage of personal data (e.g., which may, for example, include personally identifiable information) even when responding to and fulfilling Data Subject Access Requests. In particular, when responding to a DSAR, the system may compile one or more pieces of personal data for provision to a data subject. The system may store this compilation of personal data at least temporarily in order to provide access to the data to the data subject. As such, the system may be configured to implement one or more data retention rules in order to ensure compliance with any legal or industry requirements related to the temporary storage of the collected data while still fulfilling any requirements related to providing the data to data subjects that request it, deleting the data upon request, etc.

Claim (Index 7):
The computer-implemented data processing method of  claim 6 , the method further comprising:\n determining that the data subject has exceeded the access limit; and in response to determining that the data subject has exceeded the access limit, automatically archiving the one or more pieces of personal data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.95238
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16278121', '16277539', '16054780', '16159566', '16278119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4267208596121456
- 35 USC 102 Novelty (BERT): 0.5264514636394003
- Combined Prediction Score: 0.436693920014871
- Mean Citation Score: 329.534652
- Max Citation Score: 385.68353
- Similarity Product: 283.8609406984532

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

Dataset: test