PATENT CLAIM ANALYSIS

Application Number: 15944383
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["726", "001000"]

Abstract:
A computing system for redacting and/or tokenizing non-public information of electronic documents stored in a database may include a data redaction computing device and/or a data tokenization computing device, a first database storing a plurality of electronic documents, and a second database storing computer executable instructions for analyzing information associated with the plurality of electronic documents stored in the first database. The computer executable instructions may cause the data redaction/tokenization computing device to identify non-public information in one or more of the plurality of electronic documents and/or at least one of a document type, a source of the electronic document, and a destination to which the electronic document is to be communicated. Based on this analysis, the data redaction/tokenization computing device may modify the electronic document to redact and/or tokenize the non-public information based on the computer executable instructions retrieved from the second database.

Claim (Index 8):
The reversible data redaction system of  claim 1 , wherein the non-transitory memory devices further store instructions that, when executed by the processor, cause the reversible data redaction engine to:\n perform a textual analysis of meta-data associated with the electronic document based on the one or more applied business rules; identify one or more portions of the electronic document that include non-public information; and redact the one or more portions of the meta-data of the electronic document that have been identified to include non-public information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.375
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14950779', '14950790', '15674238', '14702200', '11960522']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3264131154591083
- 35 USC 102 Novelty (BERT): 0.5378954114274247
- Combined Prediction Score: 0.3475613450559399
- Mean Citation Score: 286.920008
- Max Citation Score: 381.9274
- Similarity Product: 376.9130084391237

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