Prosecution Insights
Prosecution Insights
3 pending office actions • 0 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Sunday Robotics Inc. currently has 3 pending office actions in its patent portfolio. These 3 actions are distributed among 3 distinct examiners. This means that each pending matter is being reviewed by a different individual at the patent office.
MERCADO, RAMON A is the busiest examiner for the company, currently responsible for 1 pending office action. Since there are 3 distinct examiners for the 3 pending actions, the workload is evenly distributed across the examiner pool. This indicates that the company's current prosecution is handled by 3 different experts, with no single examiner managing more than 1 case.
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 (33%) |
| §102 only | 1 (33%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| WALLACE, ZACHARY JOSEPH | 1 | 72.0% | +21.6% |
| MERCADO, RAMON A | 1 | 81.1% | +18.8% |
| TRAN, SARAH ASHLEY | 1 | 68.8% | +20.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19214865 | MOBILE DEVICE INTEGRATION WITH WEARABLE TRAINING DEVICES | MERCADO, RAMON A | — |
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 |
|---|---|---|---|
| 19214820 | PIEZOELECTRIC SENSORS FOR WEARABLE ROBOTIC TRAINING DEVICES | WALLACE, ZACHARY JOSEPH | — |
| 19214865 | MOBILE DEVICE INTEGRATION WITH WEARABLE TRAINING DEVICES | MERCADO, RAMON A | — |
| 19214761 | WEARABLE DATA COLLECTION DEVICE FOR TRAINING ROBOTIC SYSTEMS | TRAN, SARAH ASHLEY | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19214820 | PIEZOELECTRIC SENSORS FOR WEARABLE ROBOTIC TRAINING DEVICES | WALLACE, ZACHARY JOSEPH | — | §102 | Non-Final OA | — | Pending | May 21, 2025 |
| 19214865 | MOBILE DEVICE INTEGRATION WITH WEARABLE TRAINING DEVICES | MERCADO, RAMON A | — | §103§112 | Non-Final OA | — | Pending | May 21, 2025 |
| 19214761 | WEARABLE DATA COLLECTION DEVICE FOR TRAINING ROBOTIC SYSTEMS | TRAN, SARAH ASHLEY | — | §103 | Non-Final OA | — | Pending | May 21, 2025 |
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