Prosecution Insights
Prosecution Insights
6 pending office actions • 3 art units • 5 examiners • 0 of 6 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
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 + other | 2 (33%) |
| §103 only | 2 (33%) |
| §102 only | 1 (17%) |
| Multi-statute (no §101) | 1 (17%) |
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 |
|---|---|---|---|
| MOTSINGER, SEAN T | 2 | 78.3% | +11.9% |
| CZEKAJ, DAVID J | 1 | 49.2% | -8.9% |
| HUANG, KAYLEE J | 1 | 74.7% | +50.1% |
| MAHMUD, FARHAN | 1 | 55.9% | +10.2% |
| ANSARI, TAHMINA N | 1 | 85.3% | +18.7% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18517437 | IMAGE CROPPING USING ANCHOR SHAPES | ANSARI, TAHMINA N | — |
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 |
|---|---|---|---|
| 19173612 | OPTIMIZING INSERTION POINTS FOR CONTENT BASED ON AUDIO CHARACTERISTICS | CZEKAJ, DAVID J | — |
| 18888994 | FILM GRAIN MEASUREMENT USING ADAPTABLE REGION SELECTION | MOTSINGER, SEAN T | — |
| 18888929 | FILM GRAIN MEASUREMENT BASED ON SUBBAND ANALYSIS IN FREQUENCY DOMAIN | MOTSINGER, SEAN T | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19039709 | PROFILE FILTERING BASED ON QUALITY OF SERVICE TARGET IN CONTENT DELIVERY | HUANG, KAYLEE J | — |
| 19039679 | CONFIGURATION SELECTION FOR CONTENT DELIVERY USING SERVER SIDE INFORMATION | MAHMUD, FARHAN | — |
| 18888994 | FILM GRAIN MEASUREMENT USING ADAPTABLE REGION SELECTION | MOTSINGER, SEAN T | — |
| 18888929 | FILM GRAIN MEASUREMENT BASED ON SUBBAND ANALYSIS IN FREQUENCY DOMAIN | MOTSINGER, SEAN T | — |
| 18517437 | IMAGE CROPPING USING ANCHOR SHAPES | ANSARI, TAHMINA N | — |
| Art Unit | Apps |
|---|---|
| 2447 | 1 |
| 2483 | 1 |
| 2674 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19173612 | OPTIMIZING INSERTION POINTS FOR CONTENT BASED ON AUDIO CHARACTERISTICS | CZEKAJ, DAVID J | — | §102§103Other | Non-Final OA | — | Pending | Apr 08, 2025 |
| 19039709 | PROFILE FILTERING BASED ON QUALITY OF SERVICE TARGET IN CONTENT DELIVERY | HUANG, KAYLEE J | 2447 | §103 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 19039679 | CONFIGURATION SELECTION FOR CONTENT DELIVERY USING SERVER SIDE INFORMATION | MAHMUD, FARHAN | 2483 | §102 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 18888994 | FILM GRAIN MEASUREMENT USING ADAPTABLE REGION SELECTION | MOTSINGER, SEAN T | — | §101§102§103 | Non-Final OA | — | Pending | Sep 18, 2024 |
| 18888929 | FILM GRAIN MEASUREMENT BASED ON SUBBAND ANALYSIS IN FREQUENCY DOMAIN | MOTSINGER, SEAN T | — | §101§102§103 | Non-Final OA | — | Pending | Sep 18, 2024 |
| 18517437 | IMAGE CROPPING USING ANCHOR SHAPES | ANSARI, TAHMINA N | 2674 | §103 | Non-Final OA | — | Pending | Nov 22, 2023 |
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