Prosecution Insights
Prosecution Insights
3 pending office actions • 0 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 14 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 | 1 (33%) |
| §112 only | 1 (33%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| MONAHAN, MEGAN ELIZABETH | 1 | 57.9% | +15.9% |
| RASHID, ISHRAT | 1 | 59.6% | +18.1% |
| CHEN, KUANG FU | 1 | 80.0% | +68.4% |
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 |
|---|---|---|---|
| 18408610 | COLLABORATIVE CACHING FRAMEWORK FOR MULTI-EDGE SYSTEMS WITH ROBUST FEDERATED DEEP LEARNING | RASHID, ISHRAT | — |
| 18399696 | EDGE-CLIENT COLLABORATIVE FEDERATED GRAPH LEARNING WITH ADAPTIVE NEIGHBOR GENERATION | CHEN, KUANG FU | — |
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 |
|---|---|---|---|
| 18938514 | MULTI-INSTRUMENT COOPERATIVE FLEXIBLE URETEROSCOPE SURGICAL ROBOT | MONAHAN, MEGAN ELIZABETH | — |
| 18408610 | COLLABORATIVE CACHING FRAMEWORK FOR MULTI-EDGE SYSTEMS WITH ROBUST FEDERATED DEEP LEARNING | RASHID, ISHRAT | — |
| 18399696 | EDGE-CLIENT COLLABORATIVE FEDERATED GRAPH LEARNING WITH ADAPTIVE NEIGHBOR GENERATION | CHEN, KUANG FU | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18938514 | MULTI-INSTRUMENT COOPERATIVE FLEXIBLE URETEROSCOPE SURGICAL ROBOT | MONAHAN, MEGAN ELIZABETH | — | §112 | Non-Final OA | — | Pending | Nov 06, 2024 |
| 18408610 | COLLABORATIVE CACHING FRAMEWORK FOR MULTI-EDGE SYSTEMS WITH ROBUST FEDERATED DEEP LEARNING | RASHID, ISHRAT | — | §102§112 | Non-Final OA | — | Pending | Jan 10, 2024 |
| 18399696 | EDGE-CLIENT COLLABORATIVE FEDERATED GRAPH LEARNING WITH ADAPTIVE NEIGHBOR GENERATION | CHEN, KUANG FU | — | §101§112 | Non-Final OA | — | Pending | Dec 29, 2023 |
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