Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Far Eastone Telecommunications Co. Ltd. has 2 pending office actions in the Networking & Security technology area. These 2 pending office actions are split between 2 distinct examiners and 2 distinct art units. SHAH, MEHULKUMAR J is the busiest examiner, managing 1 pending office action. This indicates a balanced distribution of the current workload.
The 2 pending office actions are handled by 2 distinct examiners, ensuring that each examiner is only responsible for a single case. The presence of 2 distinct art units suggests that these Networking & Security matters are classified separately. SHAH, MEHULKUMAR J is the busiest examiner with 1 pending action, which is equal to the count for the other examiner.
The 2 distinct examiners and 2 distinct art units provide variety in both personnel and technical classification for the 2 pending office actions. Practitioners should note that the workload is evenly split within the Networking & Security area. This structure ensures that no single examiner manages both of the active matters for the company.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| SHAH, MEHULKUMAR J | 1 | 67.6% | +36.5% |
| PETTIEGREW, TOYA R | 1 | 65.4% | +17.4% |
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 |
|---|---|---|---|
| 18989497 | AUTOMATIC DEPLOYMENT SYSTEM AND METHOD THEREOF | SHAH, MEHULKUMAR 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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17867415 | SYSTEM AND METHOD OF USING BASE STATION ALGORITHM TO PLAN EMERGENT TRAFFIC ROUTE AND INFORM IN ADVANCE VEHICLES TO YIELD RIGHT-OF-WAY | PETTIEGREW, TOYA R | 88d overdue |
| 18989497 | AUTOMATIC DEPLOYMENT SYSTEM AND METHOD THEREOF | SHAH, MEHULKUMAR J | — |
| Art Unit | Apps |
|---|---|
| 2459 | 1 |
| 3662 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18989497 | AUTOMATIC DEPLOYMENT SYSTEM AND METHOD THEREOF | SHAH, MEHULKUMAR J | 2459 | §103§112 | Non-Final OA | — | Pending | Dec 20, 2024 |
| 17867415 | SYSTEM AND METHOD OF USING BASE STATION ALGORITHM TO PLAN EMERGENT TRAFFIC ROUTE AND INFORM IN ADVANCE VEHICLES TO YIELD RIGHT-OF-WAY | PETTIEGREW, TOYA R | 3662 | §103 | Non-Final OA | 88d overdue | Pending | Jul 18, 2022 |
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