PATENT CLAIM ANALYSIS

Application Number: 15963683
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["704", "270000"]

Abstract:
Techniques for accurately recording sworn deposition testimony without use of a court reporter are described herein. According to these techniques, participants in a deposition or other legal proceeding are identified in such a manner that speech in one or more audio files representing the deposition can be associated with the respective participants. The association of participants with recorded speech is used to automatically generate an accurate transcript sequentially reflecting what was said at the deposition proceeding and by which of the respective participants.

Claim (Index 8):
The method of  claim 1 , further comprising:\n receiving, at a user-interface, an indication from a user to commence a deposition; sequentially prompting, by the user-interface, a plurality of deposition participants to identify themselves; sequentially receiving, via a plurality of microphones associated with each deposition participant, an identification of each deposition participant, wherein the identification comprises one or more spoken words; recording, via at least one microphone, the identification of each deposition participant; processing the identification of each deposition participant to determine whether they are a valid deposition participant.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 91.0
- Lexical Diversity: 1.38095
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15546109', '13223652', '14732826', '11904955', '15548245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2639330987408612
- 35 USC 102 Novelty (BERT): 0.4802777823257089
- Combined Prediction Score: 0.285567567099346
- Mean Citation Score: 186.76926
- Max Citation Score: 195.38475
- Similarity Product: 142.1682868709117

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