Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 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 (67%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| KAKARLA, BHASKAR | 1 | — | — |
| ZAAB, SHARAH | 1 | 69.9% | +26.4% |
| PHAKOUSONH, DARAVANH | 1 | 33.3% | +100.0% |
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 |
|---|---|---|---|
| 18469059 | ENERGY MANAGEMENT METHOD | KAKARLA, BHASKAR | — |
| 17977214 | INTERFERENCE CHANNEL CONTENTION MODELLING USING MACHINE LEARNING | PHAKOUSONH, DARAVANH | — |
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 |
|---|---|---|---|
| 18334432 | METHOD TO DETECT OVERLOAD RESOLUTIONS FOR AIRCRAFT ENERGY MANAGEMENT SYSTEMS | ZAAB, SHARAH | — |
| 17977214 | INTERFERENCE CHANNEL CONTENTION MODELLING USING MACHINE LEARNING | PHAKOUSONH, DARAVANH | — |
| Art Unit | Apps |
|---|---|
| 2116 | 1 |
| 2857 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18469059 | ENERGY MANAGEMENT METHOD | KAKARLA, BHASKAR | 2116 | §101§102§103 | Non-Final OA | — | Pending | Sep 18, 2023 |
| 18334432 | METHOD TO DETECT OVERLOAD RESOLUTIONS FOR AIRCRAFT ENERGY MANAGEMENT SYSTEMS | ZAAB, SHARAH | 2857 | §103 | Non-Final OA | — | Pending | Jun 14, 2023 |
| 17977214 | INTERFERENCE CHANNEL CONTENTION MODELLING USING MACHINE LEARNING | PHAKOUSONH, DARAVANH | 2121 | §101§102§112 | Non-Final OA | — | Pending | Oct 31, 2022 |
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