Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Quio Technologies LLC currently manages 2 pending office actions within the Medical Devices & Mechanical Engineering technology area. This activity is distributed across 2 distinct examiners and 2 distinct art units, showing a broader administrative footprint. PAZ ESTEVEZ, GUILLERMO G is the busiest examiner, responsible for 1 busiest examiner pending action. The involvement of 2 distinct art units suggests that the company's medical device technology spans multiple technical classifications.
With 2 pending office actions, the company must coordinate responses across different examiners, though the workload is split with the busiest examiner handling 1 busiest examiner pending action. This distribution requires a prosecution strategy that accounts for the potentially different perspectives of 2 distinct examiners. Practitioners should be aware that the standards for allowance may vary between the 2 distinct art units, even within the same general technology area. The presence of multiple pending actions provides the company with more than 1 opportunity to secure patent rights.
The fact that PAZ ESTEVEZ, GUILLERMO G is the busiest examiner with 1 busiest examiner pending action indicates that the workload is not heavily concentrated. This distribution can be beneficial for the company, as it prevents the entire portfolio from being subject to the decisions of 1 examiner. Managing 2 pending office actions simultaneously requires careful attention to deadlines and a consistent technical narrative across the different filings in the Medical Devices & Mechanical Engineering space.
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 + other | 1 (50%) |
| §103 only | 1 (50%) |
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 |
|---|---|---|---|
| PAZ ESTEVEZ, GUILLERMO G | 1 | 21.4% | +5.0% |
| BALAJ, ANTHONY MICHAEL | 1 | 30.6% | +30.6% |
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 |
|---|---|---|---|
| 16637123 | SELF-EXECUTING AGENTS FOR GATHERING HEALTH INFORMATION BETWEEN TRUSTED PARTIES | BALAJ, ANTHONY MICHAEL | 29d |
| 17921300 | ADD-ON FOR MEDICAMENT DELIVERY DEVICE WITH MAGNETIC LOCK | PAZ ESTEVEZ, GUILLERMO G | — |
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 |
|---|---|---|---|
| 16637123 | SELF-EXECUTING AGENTS FOR GATHERING HEALTH INFORMATION BETWEEN TRUSTED PARTIES | BALAJ, ANTHONY MICHAEL | 29d |
| Art Unit | Apps |
|---|---|
| 3783 | 1 |
| 3682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17921300 | ADD-ON FOR MEDICAMENT DELIVERY DEVICE WITH MAGNETIC LOCK | PAZ ESTEVEZ, GUILLERMO G | 3783 | §103 | Non-Final OA | — | Pending | Oct 25, 2022 |
| 16637123 | SELF-EXECUTING AGENTS FOR GATHERING HEALTH INFORMATION BETWEEN TRUSTED PARTIES | BALAJ, ANTHONY MICHAEL | 3682 | §101§112 | Final Rejection | 29d | Pending | Feb 06, 2020 |
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