Prosecution Insights
Prosecution Insights
2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Its Co. Ltd. currently has 2 pending office actions. These actions are handled by 2 distinct examiners, with 0 distinct art units reported. ISLAM, MUHAMMAD S is the busiest examiner, holding 1 pending office action. This indicates that the active workload is distributed between multiple examiners despite the lack of art unit classification.
With a busiest examiner pending count of 1, the portfolio is evenly split. The 0 distinct art units suggests that these cases are not yet fully categorized within the standard USPTO technical hierarchy. Practitioners should note that having 2 distinct examiners for such a small portfolio ensures that each case receives an independent assessment. This distribution may provide the applicant with varied perspectives on their technology during the early stages of prosecution.
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 (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 |
|---|---|---|---|
| ISLAM, MUHAMMAD S | 1 | 88.2% | +8.9% |
| ALEXANDER, EMMA LYNNE | 1 | 69.4% | +23.2% |
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 |
|---|---|---|---|
| 18864556 | SMART MOTOR CONTROL CENTER WITH PREDICTIVE MAINTENANCE FUNCTION | ISLAM, MUHAMMAD S | — |
| 18685235 | METHOD FOR PREDICTIVE MAINTENANCE OF EQUIPMENT BY USING ANGLES TO PEAK | ALEXANDER, EMMA LYNNE | — |
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 |
|---|---|---|---|
| 18685235 | METHOD FOR PREDICTIVE MAINTENANCE OF EQUIPMENT BY USING ANGLES TO PEAK | ALEXANDER, EMMA LYNNE | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18864556 | SMART MOTOR CONTROL CENTER WITH PREDICTIVE MAINTENANCE FUNCTION | ISLAM, MUHAMMAD S | — | §103§112 | Non-Final OA | — | Pending | Dec 05, 2024 |
| 18685235 | METHOD FOR PREDICTIVE MAINTENANCE OF EQUIPMENT BY USING ANGLES TO PEAK | ALEXANDER, EMMA LYNNE | — | §101§103§112 | Non-Final OA | — | Pending | Feb 21, 2024 |
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