Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 11 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 |
|---|---|
| §103 only | 4 (80%) |
| §102 only | 1 (20%) |
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 |
|---|---|---|---|
| TEKLE, DANIEL T | 1 | 63.4% | -6.7% |
| FELIX, BRADLEY OBAS | 1 | 11.1% | +66.7% |
| ALLISON, ANDRAE S | 1 | 84.1% | -15.6% |
| SPRAUL III, VINCENT ANTON | 1 | 59.5% | +26.7% |
| WECHSELBERGER, ALFRED H. | 1 | 57.7% | +35.3% |
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 |
|---|---|---|---|
| 18332155 | METHOD FOR TRAINING NEURAL NETWORK MODEL AND METHOD FOR GENERATING IMAGE | ALLISON, ANDRAE S | 28d |
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 |
|---|---|---|---|
| 18354073 | PREDICTION METHOD FOR TARGET OBJECT, COMPUTER DEVICE, AND STORAGE MEDIUM | FELIX, BRADLEY OBAS | 20d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18185897 | METHOD AND APPARATUS FOR GENERATING NEURAL NETWORK | SPRAUL III, VINCENT ANTON | 31d overdue |
| 18354073 | PREDICTION METHOD FOR TARGET OBJECT, COMPUTER DEVICE, AND STORAGE MEDIUM | FELIX, BRADLEY OBAS | 20d |
| 17818338 | SIMULATION METHOD FOR AUTONOMOUS VEHICLE AND METHOD FOR CONTROLLING AUTONOMOUS VEHICLE | WECHSELBERGER, ALFRED H. | 71d |
| Art Unit | Apps |
|---|---|
| 2481 | 1 |
| 2671 | 1 |
| 2673 | 1 |
| 2129 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18738837 | TARGET DETECTION METHOD, VEHICLE, COMPUTING DEVICE AND COMPUTER-READABLE STORAGE MEDIUM | TEKLE, DANIEL T | 2481 | §102 | Non-Final OA | 112d overdue | Pending | Jun 10, 2024 |
| 18354073 | PREDICTION METHOD FOR TARGET OBJECT, COMPUTER DEVICE, AND STORAGE MEDIUM | FELIX, BRADLEY OBAS | 2671 | §103 | Final Rejection | 20d | Pending | Jul 18, 2023 |
| 18332155 | METHOD FOR TRAINING NEURAL NETWORK MODEL AND METHOD FOR GENERATING IMAGE | ALLISON, ANDRAE S | 2673 | §103 | Non-Final OA | 28d | Pending | Jun 09, 2023 |
| 18185897 | METHOD AND APPARATUS FOR GENERATING NEURAL NETWORK | SPRAUL III, VINCENT ANTON | 2129 | §103 | Non-Final OA | 31d overdue | Pending | Mar 17, 2023 |
| 17818338 | SIMULATION METHOD FOR AUTONOMOUS VEHICLE AND METHOD FOR CONTROLLING AUTONOMOUS VEHICLE | WECHSELBERGER, ALFRED H. | 2187 | §103 | Final Rejection | 71d | Pending | Aug 08, 2022 |
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