PATENT CLAIM ANALYSIS

Application Number: 15902512
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["705", "004000"]

Abstract:
A method and apparatus for insuring the owner of an apartment or multi-unit dwelling from damage to his building caused by his tenant's unintentional acts comprising: inputting into a computer processor a database of building physical information, occupancy information, and tenant rental information; inputting into the computer processor an insurance qualification program for renters legal liability insurance covering the building owner from unintentional damage caused by the tenant from fire, smoke, explosion, water discharge, and sewer backup, or negligence injuries by the tenant caused to third parties pursuant to predetermined insurability criteria; qualifying the building for renters legal liability insurance, and computer translating and generating insurance coverage for the building owner based on the number of units in the building and insurance coverage limits desired, and billing the owner for renter's legal liability insurance.

Claim (Index 7):
A method for insuring an apartment or multi-unit dwelling unit according to  claim 6 , including providing on-line real time computer display access to tenants to purchase either renters legal liability or tenant occupancy insurance.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 88.0
- Lexical Diversity: 1.98667
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10317645', '09704322', '10764632', '14923663', '14032434']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1025701740444445
- 35 USC 102 Novelty (BERT): 0.499128802567009
- Combined Prediction Score: 0.142226036896701
- Mean Citation Score: 199.668172
- Max Citation Score: 202.87764
- Similarity Product: 135.6891600276518

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

Dataset: test