Prosecution Insights
Prosecution Insights
Technology area: Networking & Security
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Qnap Systems Inc. is currently managing 2 pending office actions within the Networking & Security technology area. These actions are distributed across 2 distinct examiners but are contained within 1 distinct art unit. This indicates that while the technical focus is concentrated in one area, the examination is being conducted by multiple individuals within the same group.
Tommy NMN Martinez is the busiest examiner for the company, with 1 pending office action currently assigned. This represents one of the 2 total pending actions for the portfolio. The involvement of 2 distinct examiners within a single art unit suggests that the Networking & Security filings are being reviewed by different personnel within the same technical division. This can lead to varying examiner perspectives on similar technical subject matter.
The presence of 2 pending office actions across 1 distinct art unit provides a focused view of the company's current prosecution efforts. Practitioners should be aware that Tommy NMN Martinez is handling 1 of these actions, while the other is assigned to the second of the 2 distinct examiners. This structure requires managing two separate examiner relationships within the same art unit. The concentration in 1 distinct art unit simplifies the technical landscape while maintaining multiple administrative paths.
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 |
|---|---|---|---|
| MARTINEZ, TOMMY NMN | 1 | 9.1% | -11.1% |
| JAYAKUMAR, CHAITANYA R | 1 | 22.4% | +20.5% |
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 |
|---|---|---|---|
| 18432263 | PROTECTION METHOD AND PROTECTION SYSTEM FOR EXECUTABLE FILES AND SHARED LIBRARIES | MARTINEZ, TOMMY NMN | 20d |
| 18531097 | METHOD AND SYSTEM FOR INCREMENTAL LEARNING OF MULTIMEDIA RECOGNITION MODEL AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM | JAYAKUMAR, CHAITANYA R | — |
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 |
|---|---|---|---|
| 18531097 | METHOD AND SYSTEM FOR INCREMENTAL LEARNING OF MULTIMEDIA RECOGNITION MODEL AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM | JAYAKUMAR, CHAITANYA R | — |
| Art Unit | Apps |
|---|---|
| 2496 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18432263 | PROTECTION METHOD AND PROTECTION SYSTEM FOR EXECUTABLE FILES AND SHARED LIBRARIES | MARTINEZ, TOMMY NMN | 2496 | §103 | Final Rejection | 20d | Pending | Feb 05, 2024 |
| 18531097 | METHOD AND SYSTEM FOR INCREMENTAL LEARNING OF MULTIMEDIA RECOGNITION MODEL AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM | JAYAKUMAR, CHAITANYA R | — | §101§103§112 | Non-Final OA | — | Pending | Dec 06, 2023 |
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