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
Advanced Space LLC has 2 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These 2 pending office actions are split between 2 distinct examiners, which provides the company with independent reviews for its active applications. The matters are also separated into 2 distinct art units, indicating administrative variety for a portfolio of this size.
The busiest examiner for the portfolio is HORNER, MINATO LEE, who is responsible for 1 pending office action. Since this busiest examiner only manages 1 of the 2 pending office actions, the current workload is evenly divided between the 2 distinct examiners. This distribution across 2 distinct art units means that the company's prosecution outcomes are not concentrated under a single examiner or administrative group. Practitioners should expect to navigate different examination styles 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 (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 |
|---|---|---|---|
| HORNER, MINATO LEE | 1 | 68.2% | +4.8% |
| SCHOECH, ASHLEY TIFFANY | 1 | 68.8% | +28.1% |
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 |
|---|---|---|---|
| 18925394 | Incremental Neural Network Model Inference | SCHOECH, ASHLEY TIFFANY | 48d |
| Art Unit | Apps |
|---|---|
| 3665 | 1 |
| 3669 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18932120 | Almanac of Neural Network Models | HORNER, MINATO LEE | 3665 | §103 | Final Rejection | 34d | Pending | Oct 30, 2024 |
| 18925394 | Incremental Neural Network Model Inference | SCHOECH, ASHLEY TIFFANY | 3669 | §103 | Final Rejection | 48d | Pending | Oct 24, 2024 |
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