Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
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
Maersk A/S currently maintains 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are split among 3 distinct examiners. The portfolio is distributed across 3 distinct art units. ZEROUAL, OMAR is identified as the busiest examiner. This examiner is currently managing 1 busiest examiner pending action. The data shows a one-to-one ratio between 3 pending office actions and 3 distinct examiners.
This indicates that no examiner is handling multiple cases for the company. The presence in 3 distinct art units suggests that the 3 pending office actions involve different technical specialties within the broader Transportation, E-Commerce & Mechanical Systems field. ZEROUAL, OMAR, while listed as the busiest, only handles 1 busiest examiner pending action. Practitioners should note that the workload is perfectly distributed across 3 distinct examiners and 3 distinct art units.
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 |
|---|---|
| §101 only | 1 (33%) |
| §101 + other | 1 (33%) |
| §103 only | 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 |
|---|---|---|---|
| ZEROUAL, OMAR | 1 | 33.5% | +39.7% |
| ALLEN, JEFFREY R | 1 | 48.1% | +26.7% |
| MA, LISA | 1 | 47.7% | +44.8% |
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 |
|---|---|---|---|
| 18262084 | A METHOD FOR MODIFYING BOOKING DATA FOR A SHIPPING SYSTEM AND RELATED ELECTRONIC DEVICE | MA, LISA | 4d overdue |
| 19161021 | A METHOD FOR PREDICTING THE TURN TIME OF A CONTAINER AND RELATED ELECTRONIC DEVICE | ZEROUAL, OMAR | — |
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 |
|---|---|---|---|
| 18262084 | A METHOD FOR MODIFYING BOOKING DATA FOR A SHIPPING SYSTEM AND RELATED ELECTRONIC DEVICE | MA, LISA | 4d overdue |
| 19161021 | A METHOD FOR PREDICTING THE TURN TIME OF A CONTAINER AND RELATED ELECTRONIC DEVICE | ZEROUAL, OMAR | — |
| 19053057 | CONTAINER ASSEMBLY | ALLEN, JEFFREY R | — |
| Art Unit | Apps |
|---|---|
| 3629 | 1 |
| 3733 | 1 |
| 3628 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19161021 | A METHOD FOR PREDICTING THE TURN TIME OF A CONTAINER AND RELATED ELECTRONIC DEVICE | ZEROUAL, OMAR | 3629 | §101§102§103 | Non-Final OA | — | Pending | Aug 29, 2025 |
| 19053057 | CONTAINER ASSEMBLY | ALLEN, JEFFREY R | 3733 | §103 | Final Rejection | — | Pending | Feb 13, 2025 |
| 18262084 | A METHOD FOR MODIFYING BOOKING DATA FOR A SHIPPING SYSTEM AND RELATED ELECTRONIC DEVICE | MA, LISA | 3628 | §101 | Final Rejection | 4d overdue | Pending | Jul 19, 2023 |
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