Prosecution Insights
Prosecution Insights
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 2 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 (25%) |
| §103 only | 3 (75%) |
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 |
|---|---|---|---|
| DEVORE, CHRISTOPHER DILLON | 1 | 53.3% | +22.2% |
| GALERA, PATRICK PAUL CONTRER | 1 | 80.0% | +22.2% |
| ZUBERI, MOHAMMED H | 1 | 70.7% | +27.1% |
| LHYMN, SARAH | 1 | 65.8% | +14.7% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18581190 | AUTOMATED CONVERSION OF COMIC BOOK PANELS TO MOTION-RENDERED GRAPHICS | GALERA, PATRICK PAUL CONTRER | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18503862 | Artificial Intelligence-Driven Automated Frame-to-Frame Panel Reading Experience for Graphic Narratives | ZUBERI, MOHAMMED H | 32d overdue |
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 |
|---|---|---|---|
| 18503862 | Artificial Intelligence-Driven Automated Frame-to-Frame Panel Reading Experience for Graphic Narratives | ZUBERI, MOHAMMED H | 32d overdue |
| 18496352 | DYNAMICALLY EXTRACTING AND TRANSFORMING 2D IMAGES OF CLOTHING ITEMS INTO 3D COSTUME MODELS | LHYMN, SARAH | 11d overdue |
| 18617605 | METHOD AND SYSTEM FOR MACHINE-LEARNING DATASET GENERATION FROM MIXED-MEDIA DATABASES | DEVORE, CHRISTOPHER DILLON | — |
| 18581190 | AUTOMATED CONVERSION OF COMIC BOOK PANELS TO MOTION-RENDERED GRAPHICS | GALERA, PATRICK PAUL CONTRER | — |
| Art Unit | Apps |
|---|---|
| 2617 | 1 |
| 2178 | 1 |
| 2613 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18617605 | METHOD AND SYSTEM FOR MACHINE-LEARNING DATASET GENERATION FROM MIXED-MEDIA DATABASES | DEVORE, CHRISTOPHER DILLON | — | §103 | Non-Final OA | — | Pending | Mar 26, 2024 |
| 18581190 | AUTOMATED CONVERSION OF COMIC BOOK PANELS TO MOTION-RENDERED GRAPHICS | GALERA, PATRICK PAUL CONTRER | 2617 | §103 | Final Rejection | — | Pending | Feb 19, 2024 |
| 18503862 | Artificial Intelligence-Driven Automated Frame-to-Frame Panel Reading Experience for Graphic Narratives | ZUBERI, MOHAMMED H | 2178 | §101§102§103§112 | Non-Final OA | 32d overdue | Pending | Nov 07, 2023 |
| 18496352 | DYNAMICALLY EXTRACTING AND TRANSFORMING 2D IMAGES OF CLOTHING ITEMS INTO 3D COSTUME MODELS | LHYMN, SARAH | 2613 | §103 | Final Rejection | 11d overdue | Pending | Oct 27, 2023 |
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