Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
The Weather Company LLC currently manages 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. While these 3 actions are distributed among 3 distinct examiners, they are all contained within 1 distinct art unit. This indicates that while different individuals are reviewing the applications, they are all operating under the same supervisory and policy framework of a single art unit. Such a structure can lead to consistent examination results across the portfolio, as the examiners likely follow the same internal guidelines.
PO HAN LEE is the busiest examiner for the portfolio, with 1 pending office action. This workload is part of the 3 total pending office actions for the company. The concentration in 1 distinct art unit despite having 3 distinct examiners suggests a focused technological cluster that is being scrutinized by multiple sets of eyes within the same department. This allows the applicant to develop a cohesive strategy that addresses the specific requirements of this single unit while engaging with different examiners.
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 | 2 (67%) |
| §102 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 |
|---|---|---|---|
| LEE, PO HAN | 1 | 31.7% | +41.2% |
| HAKALA, ALAN GREGORY | 1 | — | — |
| BULLINGTON, ROBERT P | 1 | 42.7% | +30.3% |
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 |
|---|---|---|---|
| 18594554 | MACHINE LEARNING TECHNIQUES FOR DETERMINING SIGIFICANT EVENTS | LEE, PO HAN | 28d overdue |
| 18342844 | AUTO-SCALING, SIMULATED REALITY TASK TRAINING | BULLINGTON, ROBERT P | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18594554 | MACHINE LEARNING TECHNIQUES FOR DETERMINING SIGIFICANT EVENTS | LEE, PO HAN | 28d overdue |
| 18342844 | AUTO-SCALING, SIMULATED REALITY TASK TRAINING | BULLINGTON, ROBERT P | — |
| Art Unit | Apps |
|---|---|
| 3623 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18594554 | MACHINE LEARNING TECHNIQUES FOR DETERMINING SIGIFICANT EVENTS | LEE, PO HAN | 3623 | §101 | Non-Final OA | 28d overdue | Pending | Mar 04, 2024 |
| 18226443 | ADAPTIVE IMMERSIVE VISUAL DISPLAY IN IMMERSIVE ENVIRONMENTS | HAKALA, ALAN GREGORY | — | §102 | Non-Final OA | — | Pending | Jul 26, 2023 |
| 18342844 | AUTO-SCALING, SIMULATED REALITY TASK TRAINING | BULLINGTON, ROBERT P | — | §101 | Non-Final OA | — | Pending | Jun 28, 2023 |
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