Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Strong Force Tp Portfolio 2022 LLC operates in the Transportation, E-Commerce & Mechanical Systems technology area. The company currently has 3 pending office actions. These actions are spread across 3 distinct examiners and 3 distinct art units. Abdhesh K Jha is the busiest examiner, managing 1 pending office action.
The distribution of 3 pending office actions among 3 distinct examiners means each examiner handles 1 of the 3 current matters. The involvement of 3 distinct art units indicates that the company's filings are being reviewed by three different specialized departments. Abdhesh K Jha is one of the three examiners the company must engage with.
Practitioners must develop three separate prosecution strategies, as the lack of examiner or art unit overlap requires unique arguments for each of the 3 pending office actions. Each matter must be tailored to the specific standards of its respective 3 distinct art units. Abdhesh K Jha and the other examiners will each apply their own procedural preferences within the Transportation, E-Commerce & Mechanical Systems field.
Based on the USPTO statutory response window for each pending office action. 2 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 | 2 (67%) |
| 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 |
|---|---|---|---|
| JHA, ABDHESH K | 1 | 80.9% | +16.8% |
| HOQUE, NAFIZ E | 1 | 75.6% | +23.0% |
| OCHOA, JUAN CARLOS | 1 | 67.3% | +22.1% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18396069 | AI-ENABLED SYSTEM FOR ADJUSTING OPERATION OF A VEHICLE AND COMMUNICATING EMOTIONAL STATE OF THE RIDER HAVING A FEEDBACK LOOP | JHA, ABDHESH K | — |
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 |
|---|---|---|---|
| 17975227 | SYSTEM FOR REPRESENTING ATTRIBUTES IN A TRANSPORTATION SYSTEM DIGITAL TWIN | OCHOA, JUAN CARLOS | 36d overdue |
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 |
|---|---|---|---|
| 18394008 | METHOD FOR OPTIMIZING A STATE OF A RIDER OF A VEHICLE BASED ON USING A WEARABLE SENSOR TO DETECT A CHANGE IN EMOTIONAL STATE OF THE RIDER | HOQUE, NAFIZ E | 59d overdue |
| 17975227 | SYSTEM FOR REPRESENTING ATTRIBUTES IN A TRANSPORTATION SYSTEM DIGITAL TWIN | OCHOA, JUAN CARLOS | 36d overdue |
| 18396069 | AI-ENABLED SYSTEM FOR ADJUSTING OPERATION OF A VEHICLE AND COMMUNICATING EMOTIONAL STATE OF THE RIDER HAVING A FEEDBACK LOOP | JHA, ABDHESH K | — |
| Art Unit | Apps |
|---|---|
| 3668 | 1 |
| 2693 | 1 |
| 2186 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18396069 | AI-ENABLED SYSTEM FOR ADJUSTING OPERATION OF A VEHICLE AND COMMUNICATING EMOTIONAL STATE OF THE RIDER HAVING A FEEDBACK LOOP | JHA, ABDHESH K | 3668 | §103 | Non-Final OA | — | Pending | Dec 26, 2023 |
| 18394008 | METHOD FOR OPTIMIZING A STATE OF A RIDER OF A VEHICLE BASED ON USING A WEARABLE SENSOR TO DETECT A CHANGE IN EMOTIONAL STATE OF THE RIDER | HOQUE, NAFIZ E | 2693 | §103 | Final Rejection | 59d overdue | Pending | Dec 22, 2023 |
| 17975227 | SYSTEM FOR REPRESENTING ATTRIBUTES IN A TRANSPORTATION SYSTEM DIGITAL TWIN | OCHOA, JUAN CARLOS | 2186 | §103§112 | Final Rejection | 36d overdue | Pending | Oct 27, 2022 |
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