Prosecution Insights
Prosecution Insights
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 |
|---|---|
| §103 only | 2 (50%) |
| Double-patenting only | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| HANCE, ROBERT J | 1 | 66.4% | +21.6% |
| POPE, DARYL C | 1 | 85.5% | +6.4% |
| BROUGHTON, KATHLEEN M | 1 | 83.9% | +9.9% |
| CHIO, TAT CHI | 1 | 72.9% | +17.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19172553 | Machine Learning Solutions for Matching of Vehicle Exit to Unmatched Entry Events | POPE, DARYL C | — |
| 18940794 | Automatic License Plate Layout Generation Using Machine Learning | BROUGHTON, KATHLEEN M | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19324382 | ADAPTIVE POSITIONING OF DRONES FOR ENHANCED FACE RECOGNITION | HANCE, ROBERT J | 46d |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19324382 | ADAPTIVE POSITIONING OF DRONES FOR ENHANCED FACE RECOGNITION | HANCE, ROBERT J | 46d |
| 18940792 | SYNTHETIC LICENSE PLATE DATA GENERATION | CHIO, TAT CHI | — |
| Art Unit | Apps |
|---|---|
| 3992 | 1 |
| 2661 | 1 |
| 2486 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19324382 | ADAPTIVE POSITIONING OF DRONES FOR ENHANCED FACE RECOGNITION | HANCE, ROBERT J | 3992 | §103§112Other | Final Rejection | 46d | Pending | Sep 10, 2025 |
| 19172553 | Machine Learning Solutions for Matching of Vehicle Exit to Unmatched Entry Events | POPE, DARYL C | — | DP | Non-Final OA | — | Pending | Apr 07, 2025 |
| 18940794 | Automatic License Plate Layout Generation Using Machine Learning | BROUGHTON, KATHLEEN M | 2661 | §103 | Non-Final OA | — | Pending | Nov 07, 2024 |
| 18940792 | SYNTHETIC LICENSE PLATE DATA GENERATION | CHIO, TAT CHI | 2486 | §103 | Non-Final OA | — | Pending | Nov 07, 2024 |
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