Prosecution Insights
Prosecution Insights
1 pending office actions • 0 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Standard Chartered Bank has 1 pending office action currently under review. This action is assigned to 1 distinct examiner, TSAI, JAMES T, who is also identified as the busiest examiner with 1 busiest examiner pending action. The data shows 0 distinct art units associated with this portfolio, indicating the action may be in a preliminary stage of processing.
With 1 distinct examiner and 1 pending office action, the company's current administrative requirements are limited. This single action defines the company's present engagement with the patent office, as no specific technology area is currently designated in the data and 0 distinct art units are recorded.
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) | 1 (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 |
|---|---|---|---|
| TSAI, JAMES T | 1 | 63.4% | +56.9% |
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 |
|---|---|---|---|
| 18511994 | METHOD AND SYSTEM FOR QUANTUM MACHINE LEARNING | TSAI, JAMES T | — |
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 |
|---|---|---|---|
| 18511994 | METHOD AND SYSTEM FOR QUANTUM MACHINE LEARNING | TSAI, JAMES T | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18511994 | METHOD AND SYSTEM FOR QUANTUM MACHINE LEARNING | TSAI, JAMES T | — | §103§112 | Non-Final OA | — | Pending | Nov 16, 2023 |
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