Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (40%) |
| §103 only | 3 (60%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| KWONG, CHO YIU | 1 | 32.0% | +6.1% |
| ARTIMEZ, DANA FERREN | 1 | 54.5% | +47.5% |
| CHEN, WENREN | 1 | 13.5% | +25.2% |
| GO, JOHN PHILIP | 1 | 34.3% | +44.3% |
| ABDULLAEV, AMANULLA | 1 | 23.3% | +33.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17706494 | METHODS FOR ANALYZING INSURANCE DATA AND DEVICES THEREOF | ABDULLAEV, AMANULLA | 105d overdue |
| 18815656 | METHODS FOR DETERMINING IMAGE CONTENT WHEN GENERATING A PROPERTY LOSS CLAIM THROUGH PREDICTIVE ANALYTICS | KWONG, CHO YIU | 31d overdue |
| 18462246 | VEHICLE REPAIR ESTIMATION GUIDED BY ARTIFICIAL INTELLIGENCE | CHEN, WENREN | 22d |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17949002 | METHODS FOR MANAGING ONE OR MORE UNCORRELATED ELEMENTS IN DATA AND DEVICES THEREOF | GO, JOHN PHILIP | 121d overdue |
| 17706494 | METHODS FOR ANALYZING INSURANCE DATA AND DEVICES THEREOF | ABDULLAEV, AMANULLA | 105d overdue |
| 18462246 | VEHICLE REPAIR ESTIMATION GUIDED BY ARTIFICIAL INTELLIGENCE | CHEN, WENREN | 22d |
| 18378117 | SYSTEMS AND METHODS FOR AUTOMATICALLY LINKING DIAGNOSTIC SCAN DATA | ARTIMEZ, DANA FERREN | 46d |
| Art Unit | Apps |
|---|---|
| 3693 | 1 |
| 3667 | 1 |
| 3626 | 1 |
| 3681 | 1 |
| 3692 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18815656 | METHODS FOR DETERMINING IMAGE CONTENT WHEN GENERATING A PROPERTY LOSS CLAIM THROUGH PREDICTIVE ANALYTICS | KWONG, CHO YIU | 3693 | §101 | Final Rejection | 31d overdue | Pending | Aug 26, 2024 |
| 18378117 | SYSTEMS AND METHODS FOR AUTOMATICALLY LINKING DIAGNOSTIC SCAN DATA | ARTIMEZ, DANA FERREN | 3667 | §103 | Final Rejection | 46d | Pending | Oct 09, 2023 |
| 18462246 | VEHICLE REPAIR ESTIMATION GUIDED BY ARTIFICIAL INTELLIGENCE | CHEN, WENREN | 3626 | §103 | Non-Final OA | 22d | Pending | Sep 06, 2023 |
| 17949002 | METHODS FOR MANAGING ONE OR MORE UNCORRELATED ELEMENTS IN DATA AND DEVICES THEREOF | GO, JOHN PHILIP | 3681 | §103 | Final Rejection | 121d overdue | Pending | Sep 20, 2022 |
| 17706494 | METHODS FOR ANALYZING INSURANCE DATA AND DEVICES THEREOF | ABDULLAEV, AMANULLA | 3692 | §101 | Final Rejection | 105d overdue | Pending | Mar 28, 2022 |
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