PATENT CLAIM ANALYSIS

Application Number: 16366705
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["706", "025000"]

Abstract:
Deep learning is used to identify specific risks to an enterprise of a pending litigation and identify documents of interest for the litigation. The system involves mining and using existing classifications of data (e.g., from a litigation database) to train one or more deep learning algorithms, and then examining the electronically stored information with the trained algorithm, to generate a scored output that will enable enterprise personnel to review risks to the enterprise, e.g. to enable enterprise personnel to assess the nature and extent of the potential damage from the litigation, and to identify relevant documents that would be saved to prevent spoliation.

Claim (Index 11):
The method of  claim 8 , wherein the report and the documents of interest are exported to an existing case management system for investigation and review and possible further action.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 99.0
- Lexical Diversity: 1.66176
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15413323', '15406385', '15277458', '15414161', '15413335']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4820321077475574
- 35 USC 102 Novelty (BERT): 0.530499582904851
- Combined Prediction Score: 0.4868788552632868
- Mean Citation Score: 366.38186
- Max Citation Score: 372.55115
- Similarity Product: 273.52754314137104

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

Dataset: test