Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Semiconductors, Circuits & Optics
7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 16 patents granted in the last 365 days
THE AEROSPACE Corporation currently has 7 pending office actions in the Semiconductors, Circuits & Optics technology area. These 7 actions are assigned to 7 distinct examiners, meaning each examiner is reviewing 1 application. The portfolio is also spread across 6 distinct art units, indicating a high level of technical diversity for a portfolio of this size.
The busiest examiner, COOK, WILLIAM J, is responsible for 1 busiest examiner pending action. With 7 pending office actions split among 7 distinct examiners, there is no concentration of work under any 1 individual. The presence of 6 distinct art units for only 7 pending actions shows that the company's research is being evaluated by almost as many specialized groups as there are pending matters. For practitioners, this high level of dispersion across both 7 examiners and 6 art units means that prosecution strategies must be highly individualized for each application. There is very little opportunity to apply lessons learned from 1 examiner or art unit to the rest of the pending portfolio, as 6 out of the 7 actions are in different units and all 7 are with different examiners. This requires a broad and flexible approach to prosecution.
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 | 2 (29%) |
| §103 only | 1 (14%) |
| §112 only | 1 (14%) |
| Multi-statute (no §101) | 3 (43%) |
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 |
|---|---|---|---|
| COOK, WILLIAM J | 1 | 86.2% | +11.0% |
| MERCADO, ALEXANDER A | 1 | 69.4% | +19.6% |
| LEE, SHUN K | 1 | 42.2% | +16.3% |
| GRUSZKA, DANIEL PATRICK | 1 | 40.0% | +66.7% |
| NGUYEN, CHAU T | 1 | 67.9% | +30.5% |
| SILVA, MICHAEL THOMAS | 1 | 33.0% | +23.9% |
| AYAD, TAMIR | 1 | 42.3% | +47.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18184428 | MACHINE LEARNING MODEL TRAINING USING FEATURE SPACE ANALYSIS | GRUSZKA, DANIEL PATRICK | 49d overdue |
| 18968574 | DYNAMIC FLEXIBLE CIRCUITS | COOK, WILLIAM J | — |
| 18308132 | PORTABLE GAMMA RAY COMPUTED TOMOGRAPHY (CT) | LEE, SHUN K | — |
| 17960019 | MALLEABLE CONFIDENCE MODELS AND MACHINE LEARNING PREDICTION | NGUYEN, CHAU T | — |
| 16860658 | THERMOELECTRIC ARRAY | AYAD, TAMIR | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18184428 | MACHINE LEARNING MODEL TRAINING USING FEATURE SPACE ANALYSIS | GRUSZKA, DANIEL PATRICK | 49d overdue |
| 18968574 | DYNAMIC FLEXIBLE CIRCUITS | COOK, WILLIAM J | — |
| 18733698 | WIRELESS BATTERY LEAK DETECTION | MERCADO, ALEXANDER A | — |
| 18308132 | PORTABLE GAMMA RAY COMPUTED TOMOGRAPHY (CT) | LEE, SHUN K | — |
| 17960019 | MALLEABLE CONFIDENCE MODELS AND MACHINE LEARNING PREDICTION | NGUYEN, CHAU T | — |
| 16932418 | METHODS AND SYSTEMS FOR ORBIT ESTIMATION OF A SATELLITE | SILVA, MICHAEL THOMAS | — |
| 16860658 | THERMOELECTRIC ARRAY | AYAD, TAMIR | — |
| Art Unit | Apps |
|---|---|
| 2855 | 1 |
| 2884 | 1 |
| 2121 | 1 |
| 2100 | 1 |
| 3663 | 1 |
| 1726 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18968574 | DYNAMIC FLEXIBLE CIRCUITS | COOK, WILLIAM J | — | §103§112 | Non-Final OA | — | Pending | Dec 04, 2024 |
| 18733698 | WIRELESS BATTERY LEAK DETECTION | MERCADO, ALEXANDER A | 2855 | §112 | Final Rejection | — | Pending | Jun 04, 2024 |
| 18308132 | PORTABLE GAMMA RAY COMPUTED TOMOGRAPHY (CT) | LEE, SHUN K | 2884 | §103§112 | Non-Final OA | — | Pending | Apr 27, 2023 |
| 18184428 | MACHINE LEARNING MODEL TRAINING USING FEATURE SPACE ANALYSIS | GRUSZKA, DANIEL PATRICK | 2121 | §101§103 | Final Rejection | 49d overdue | Pending | Mar 15, 2023 |
| 17960019 | MALLEABLE CONFIDENCE MODELS AND MACHINE LEARNING PREDICTION | NGUYEN, CHAU T | 2100 | §101§102§103 | Final Rejection | — | Pending | Oct 04, 2022 |
| 16932418 | METHODS AND SYSTEMS FOR ORBIT ESTIMATION OF A SATELLITE | SILVA, MICHAEL THOMAS | 3663 | §103 | Non-Final OA | — | Pending | Jul 17, 2020 |
| 16860658 | THERMOELECTRIC ARRAY | AYAD, TAMIR | 1726 | §103§112 | Non-Final OA | — | Pending | Apr 28, 2020 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial