Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Nota Inc. manages 4 pending office actions within the Computing & Software technology area. These 4 actions are distributed across 4 distinct examiners, ensuring that no examiner is currently reviewing more than one pending application. The portfolio is spread across 4 distinct art units, matching the number of examiners and pending actions. This one-to-one-to-one ratio between actions, examiners, and art units suggests a range of technical subject matter within the computing sector.
SOFRONIOU, MICHAEL MARIO is the busiest examiner with 1 pending office action. Since the 4 distinct examiners each handle an equal portion of the workload, the company faces a broad front of examination. Practitioners must be prepared to tailor their arguments to 4 different art units, as the lack of examiner overlap prevents the use of a single consolidated strategy. The distribution of 4 pending office actions across such a variety of examiners and units highlights the need for a versatile approach to patent prosecution in this technology area.
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 only | 1 (25%) |
| §101 + other | 1 (25%) |
| §103 only | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| SOFRONIOU, MICHAEL MARIO | 1 | 100.0% | +0.0% |
| ANNIS, PETER THOMAS | 1 | — | — |
| WERNER, MARSHALL L | 1 | 66.1% | +40.7% |
| GRUSZKA, DANIEL PATRICK | 1 | 40.0% | +66.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18809217 | METHOD OF SETTING REGION OF INTEREST IN IMAGE FOR COLLECTING ROAD TRAFFIC INDEXES | SOFRONIOU, MICHAEL MARIO | — |
| 18491294 | APPARATUS AND METHOD FOR TRANSFORMING ARTIFICIAL INTELLIGENCE BASED MODEL BASED ON DEVICE AWARENESS | ANNIS, PETER THOMAS | — |
| 18463184 | METHOD AND SYSTEM FOR COMPRESSING MODEL FOR NATURAL LANGUAGE UNDERSTANDING WITH LAYER PRUNING | WERNER, MARSHALL L | — |
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 |
|---|---|---|---|
| 17842611 | METHOD AND APPARATUS FOR RETRAINING COMPRESSED MODEL USING VARIANCE EQUALIZATION | GRUSZKA, DANIEL PATRICK | 17d overdue |
| 18463184 | METHOD AND SYSTEM FOR COMPRESSING MODEL FOR NATURAL LANGUAGE UNDERSTANDING WITH LAYER PRUNING | WERNER, MARSHALL L | — |
| Art Unit | Apps |
|---|---|
| 2661 | 1 |
| 4100 | 1 |
| 2125 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18809217 | METHOD OF SETTING REGION OF INTEREST IN IMAGE FOR COLLECTING ROAD TRAFFIC INDEXES | SOFRONIOU, MICHAEL MARIO | 2661 | §103§112 | Final Rejection | — | Pending | Aug 19, 2024 |
| 18491294 | APPARATUS AND METHOD FOR TRANSFORMING ARTIFICIAL INTELLIGENCE BASED MODEL BASED ON DEVICE AWARENESS | ANNIS, PETER THOMAS | 4100 | §101§102§103 | Non-Final OA | — | Pending | Oct 20, 2023 |
| 18463184 | METHOD AND SYSTEM FOR COMPRESSING MODEL FOR NATURAL LANGUAGE UNDERSTANDING WITH LAYER PRUNING | WERNER, MARSHALL L | 2125 | §101 | Final Rejection | — | Pending | Sep 07, 2023 |
| 17842611 | METHOD AND APPARATUS FOR RETRAINING COMPRESSED MODEL USING VARIANCE EQUALIZATION | GRUSZKA, DANIEL PATRICK | 2121 | §103 | Non-Final OA | 17d overdue | Pending | Jun 16, 2022 |
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