Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Kache AI is currently prosecuting applications in the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio contains 1 pending office action, which is assigned to 1 distinct examiner. This suggests that the company's current patenting efforts are focused on a specific innovation rather than a diverse array of technologies requiring multiple examiners. The presence of 1 distinct art unit further shows that the company's current patent activities are not spread across different technical divisions.
The busiest examiner for Kache AI is FITZHARRIS, KATHERINE MARIE, who is responsible for the 1 pending office action. With 1 busiest examiner pending action, the data shows that this examiner is the sole official currently reviewing the company's pending matters. Practitioners should note that the prosecution success for this portfolio currently rests on the interactions within this single art unit. This centralized structure suggests a straightforward prosecution path where all current results are determined by a single official's review.
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 |
|---|---|
| §103 only | 1 (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 |
|---|---|---|---|
| FITZHARRIS, KATHERINE MARIE | 1 | 33.1% | -3.8% |
| Art Unit | Apps |
|---|---|
| 3665 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17821346 | SYSTEM AND METHOD FOR DETECTING A CONDITION PROMPTING AN UPDATE TO AN AUTONOMOUS VEHICLE DRIVING MODEL | FITZHARRIS, KATHERINE MARIE | 3665 | §103 | Non-Final OA | 28d | Pending | Aug 22, 2022 |
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