Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Clarios Advanced Solutions GmbH is managing 2 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed between 2 distinct examiners. The prosecution spans 2 distinct art units, showing that each of the 2 pending actions is being reviewed by a different specialized group. This distribution across 2 art units indicates a degree of technical dispersion for the company's current applications.
The busiest examiner for the portfolio is LEE, JUSTIN S, who is handling 1 busiest examiner pending action. Since there are 2 pending actions and 2 distinct examiners, the workload is divided across the assigned reviewers. The presence of 2 distinct art units for 2 pending actions suggests that the company's matters involve different technical classifications that require separate review by the 2 distinct examiners.
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%) |
| §103 only | 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 |
|---|---|---|---|
| LEE, JUSTIN S | 1 | 74.6% | +25.6% |
| ORTIZ, ANGELA Y | 1 | 6.4% | +0.0% |
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 |
|---|---|---|---|
| 19053772 | METHOD AND SYSTEM FOR PREDICTING ENGINE-START PERFORMANCE OF AN ELECTRICAL ENERGY STORAGE SYSTEM | LEE, JUSTIN S | — |
| 17268075 | ADVANCED BATTERY HEALTH DIAGNOSTIC | ORTIZ, ANGELA Y | — |
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 |
|---|---|---|---|
| 19053772 | METHOD AND SYSTEM FOR PREDICTING ENGINE-START PERFORMANCE OF AN ELECTRICAL ENERGY STORAGE SYSTEM | LEE, JUSTIN S | — |
| Art Unit | Apps |
|---|---|
| 3668 | 1 |
| 3663 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19053772 | METHOD AND SYSTEM FOR PREDICTING ENGINE-START PERFORMANCE OF AN ELECTRICAL ENERGY STORAGE SYSTEM | LEE, JUSTIN S | 3668 | §101§103Other | Non-Final OA | — | Pending | Feb 14, 2025 |
| 17268075 | ADVANCED BATTERY HEALTH DIAGNOSTIC | ORTIZ, ANGELA Y | 3663 | §103 | Final Rejection | — | Pending | Feb 11, 2021 |
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