Prosecution Insights
Prosecution Insights
2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Pony.ai Inc. currently has 2 pending office actions within its patent portfolio. These matters are assigned to 2 distinct examiners, showing that each pending action is handled by a different individual at this stage of prosecution.
The busiest examiner is TRAN, AMY NMN, who is responsible for 1 pending office action. This examiner handles 1 of the company's 2 pending office actions, while the remaining action is managed by the other distinct examiner identified in the portfolio data.
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 | 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 |
|---|---|---|---|
| TRAN, AMY NMN | 1 | 38.2% | +37.0% |
| SCHWARZENBERG, PAUL | 1 | 61.6% | +27.8% |
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 |
|---|---|---|---|
| 18680440 | AUGMENTING OF DRIVING SCENARIOS USING CONTRASTIVE LEARNING | TRAN, AMY NMN | — |
| 18365205 | SIMULATION SCENARIOS IN VEHICLE SAFETY TESTING | SCHWARZENBERG, PAUL | — |
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 |
|---|---|---|---|
| 18680440 | AUGMENTING OF DRIVING SCENARIOS USING CONTRASTIVE LEARNING | TRAN, AMY NMN | — |
| 18365205 | SIMULATION SCENARIOS IN VEHICLE SAFETY TESTING | SCHWARZENBERG, PAUL | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18680440 | AUGMENTING OF DRIVING SCENARIOS USING CONTRASTIVE LEARNING | TRAN, AMY NMN | — | §101§102§103 | Non-Final OA | — | Pending | May 31, 2024 |
| 18365205 | SIMULATION SCENARIOS IN VEHICLE SAFETY TESTING | SCHWARZENBERG, PAUL | — | §101§103 | Non-Final OA | — | Pending | Aug 03, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial