Prosecution Insights
Prosecution Insights
2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 12 patents granted in the last 365 days
Fuzhou University is currently managing 2 pending office actions within its patent portfolio. These actions are distributed across 2 distinct examiners, indicating that each active case is being reviewed by a different individual. This distribution requires the university to address separate sets of examiner feedback simultaneously. RISIC, ABIGAIL ANNE is identified as the busiest examiner, though this role involves only 1 pending office action. This parity among the examiners suggests a balanced but fragmented prosecution workload.
The data reports 0 distinct art units for these filings, which suggests the cases may be in a transitional administrative state or not yet fully categorized. Despite the active office actions, the lack of art unit data makes it difficult to pinpoint the specific technical subgrouping at the USPTO. RISIC, ABIGAIL ANNE handles a single case, which accounts for a portion of the university's current active prosecution. With multiple examiners involved, the university must maintain separate lines of communication to resolve its 2 pending office actions effectively. The 0 distinct art units recorded highlight a unique administrative profile for this portfolio.
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 |
|---|---|
| Multi-statute (no §101) | 2 (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 |
|---|---|---|---|
| RISIC, ABIGAIL ANNE | 1 | 77.7% | +7.3% |
| KIM, JONATHAN J | 1 | 63.6% | +50.0% |
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 |
|---|---|---|---|
| 18731242 | CONSTRUCTION METHOD OF STEEL-CONCRETE COMBINED SKEWBACK STRUCTURE AND CONSTRUCTION METHOD THEREOF | RISIC, ABIGAIL ANNE | — |
| 18582690 | METHOD OF JOINT COMPUTATION OFFLOADING AND RESOURCE ALLOCATION IN MULTI-EDGE SMART COMMUNITIES WITH PERSONALIZED FEDERATED DEEP REINFORCEMENT LEARNING | KIM, JONATHAN J | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18582690 | METHOD OF JOINT COMPUTATION OFFLOADING AND RESOURCE ALLOCATION IN MULTI-EDGE SMART COMMUNITIES WITH PERSONALIZED FEDERATED DEEP REINFORCEMENT LEARNING | KIM, JONATHAN J | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18731242 | CONSTRUCTION METHOD OF STEEL-CONCRETE COMBINED SKEWBACK STRUCTURE AND CONSTRUCTION METHOD THEREOF | RISIC, ABIGAIL ANNE | — | §103§112 | Non-Final OA | — | Pending | Jun 01, 2024 |
| 18582690 | METHOD OF JOINT COMPUTATION OFFLOADING AND RESOURCE ALLOCATION IN MULTI-EDGE SMART COMMUNITIES WITH PERSONALIZED FEDERATED DEEP REINFORCEMENT LEARNING | KIM, JONATHAN J | — | §102§112 | Non-Final OA | — | Pending | Feb 21, 2024 |
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