Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (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. 3 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. 3 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 | 3 (100%) |
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 |
|---|---|---|---|
| OPSASNICK, MICHAEL N | 1 | 82.0% | +10.6% |
| RODEN, DONALD THOMAS | 1 | 0.0% | +0.0% |
| MUHEBBULLAH, SAJEDA | 1 | 29.7% | +34.8% |
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 |
|---|---|---|---|
| 18553221 | METHOD FOR END-TO-END SPEECH ENHANCEMENT BASED ON NEURAL NETWORK, COMPUTER-READABLE STORAGE MEDIUM, AND ELECTRONIC DEVICE | OPSASNICK, MICHAEL N | 5d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18038054 | Visualized Page Rendering Method, Device, Equipment, and Storage Medium | MUHEBBULLAH, SAJEDA | 138d overdue |
| 18270281 | FEDERATED LEARNING MODEL TRAINING METHOD AND APPARATUS, AND ELECTRONIC DEVICE | RODEN, DONALD THOMAS | 33d |
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 |
|---|---|---|---|
| 18038054 | Visualized Page Rendering Method, Device, Equipment, and Storage Medium | MUHEBBULLAH, SAJEDA | 138d overdue |
| 18553221 | METHOD FOR END-TO-END SPEECH ENHANCEMENT BASED ON NEURAL NETWORK, COMPUTER-READABLE STORAGE MEDIUM, AND ELECTRONIC DEVICE | OPSASNICK, MICHAEL N | 5d overdue |
| Art Unit | Apps |
|---|---|
| 2658 | 1 |
| 2128 | 1 |
| 2174 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18553221 | METHOD FOR END-TO-END SPEECH ENHANCEMENT BASED ON NEURAL NETWORK, COMPUTER-READABLE STORAGE MEDIUM, AND ELECTRONIC DEVICE | OPSASNICK, MICHAEL N | 2658 | §103 | Non-Final OA | 5d overdue | Pending | Sep 29, 2023 |
| 18270281 | FEDERATED LEARNING MODEL TRAINING METHOD AND APPARATUS, AND ELECTRONIC DEVICE | RODEN, DONALD THOMAS | 2128 | §103 | Non-Final OA | 33d | Pending | Jun 29, 2023 |
| 18038054 | Visualized Page Rendering Method, Device, Equipment, and Storage Medium | MUHEBBULLAH, SAJEDA | 2174 | §103 | Non-Final OA | 138d overdue | Pending | May 22, 2023 |
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