Technology area: Computing & Software
8 pending office actions • 7 art units • 7 examiners • 0 of 8 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Nota Inc. has 8 pending office actions in Computing & Software. The matters involve 7 distinct examiners and 7 distinct art units, indicating distribution across several prosecution channels with one additional matter beyond the examiner and art-unit counts.
LEE, WILLIAM MICHAEL is the busiest examiner, with 2 pending matters. The limited concentration suggests that most work is spread among other examiner relationships, requiring coordinated docket management and consistent treatment of recurring software claim issues.
Because the examiner and art-unit counts are equal, the record does not identify a shared art unit handled by multiple listed examiners. Counsel can therefore organize review around individual examiner and unit assignments while comparing related claim language across matters.
The busiest examiner’s multiple matters may offer an opportunity to align response strategy where the claim themes overlap. Other matters should remain tailored to their own examination records and cited references.
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 (12%) |
| §101 + other | 2 (25%) |
| §103 only | 4 (50%) |
| Multi-statute (no §101) | 1 (12%) |
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 |
|---|---|---|---|
| LEE, WILLIAM MICHAEL | 2 | — | — |
| SOFRONIOU, MICHAEL MARIO | 1 | 100.0% | +0.0% |
| WALSH, EMMETT K | 1 | 52.5% | +20.1% |
| ANNIS, PETER THOMAS | 1 | — | — |
| WERNER, MARSHALL L | 1 | 65.8% | +41.3% |
| BOSTWICK, SIDNEY VINCENT | 1 | 51.6% | +37.3% |
| GRUSZKA, DANIEL PATRICK | 1 | 33.3% | +66.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 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 | — |
| 18454466 | METHOD AND SYSTEM FOR GENERATING TRANSFER LEARNING MODEL BASED ON CONVERGENCE OF MODEL COMPRESSION AND TRANSFER LEARNING | LEE, WILLIAM MICHAEL | — |
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 4 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 |
| 18395030 | APPARATUS AND METHOD FOR OPTIMIZING ARTIFICIAL INTELLIGENCE BASED MODEL | WALSH, EMMETT K | — |
| 18463184 | METHOD AND SYSTEM FOR COMPRESSING MODEL FOR NATURAL LANGUAGE UNDERSTANDING WITH LAYER PRUNING | WERNER, MARSHALL L | — |
| 18056644 | METHOD AND APPARATUS FOR INFORMATION FLOW BASED AUTOMATIC NEURAL NETWORK COMPRESSION THAT PRESERVES THE MODEL ACCURACY | BOSTWICK, SIDNEY VINCENT | — |
| Art Unit | Apps |
|---|---|
| 2145 | 2 |
| 2661 | 1 |
| 3626 | 1 |
| 4100 | 1 |
| 2125 | 1 |
| 2124 | 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 |
| 18395030 | APPARATUS AND METHOD FOR OPTIMIZING ARTIFICIAL INTELLIGENCE BASED MODEL | WALSH, EMMETT K | 3626 | §103 | Final Rejection | — | Pending | Dec 22, 2023 |
| 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 |
| 18454466 | METHOD AND SYSTEM FOR GENERATING TRANSFER LEARNING MODEL BASED ON CONVERGENCE OF MODEL COMPRESSION AND TRANSFER LEARNING | LEE, WILLIAM MICHAEL | 2145 | §101§103 | Final Rejection | — | Pending | Aug 23, 2023 |
| 18163220 | METHOD OF PROVIDING NEURAL NETWORK MODEL AND ELECTRONIC APPARATUS FOR PERFORMING THE SAME | LEE, WILLIAM MICHAEL | 2145 | §103 | Non-Final OA | — | Pending | Feb 01, 2023 |
| 18056644 | METHOD AND APPARATUS FOR INFORMATION FLOW BASED AUTOMATIC NEURAL NETWORK COMPRESSION THAT PRESERVES THE MODEL ACCURACY | BOSTWICK, SIDNEY VINCENT | 2124 | §103 | Final Rejection | — | Pending | Nov 17, 2022 |
| 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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Start Free TrialNota Inc. has 8 pending office actions as of October 2026, spread across 7 art units and 7 examiners.
William Michael Lee has the most, with 2 of Nota Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
