PATENT CLAIM ANALYSIS

Application Number: 15894890
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["705", "325000"]

Abstract:
In various embodiments, a privacy campaign data modification system is configured to store one or more electronic messages in memory and associate those electronic messages with a particular processing activity. The system may be configured to automatically analyze the electronic messages to determine whether personal data is being transferred from one territory to another as part of the processing activity. If so, the system may update a risk level associated with the processing activity to reflect the cross-border transfer. The system may also be configured to automatically analyze the electronic messages to determine whether personal data is being transferred from a party inside a particular organization to a party outside the organization. If so, the system may update the risk level associated with the processing activity to reflect the transfer of the personal data out of the organization.

Claim (Index 3):
The computer-implemented data processing method of  claim 2 , further comprising:\n scanning the electronic message to identify at least one piece of content within the electronic message; and modifying the audit schedule based at least in part on the at least one piece of content.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.39344
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15619382', '15633703', '15169643', '15256419', '15619451']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0958395672066427
- 35 USC 102 Novelty (BERT): 0.4933094535429163
- Combined Prediction Score: 0.1355865558402701
- Mean Citation Score: 238.08673600000003
- Max Citation Score: 279.88464
- Similarity Product: 274.0477599352455

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