Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 |
|---|---|
| §103 only | 2 (67%) |
| §112 only | 1 (33%) |
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 |
|---|---|---|---|
| NEHCHIRI, KOOROSH | 1 | 43.0% | +30.3% |
| ZUBERI, MOHAMMED H | 1 | 70.2% | +27.5% |
| LHYMN, SARAH | 1 | 65.5% | +15.1% |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18504119 | METHOD AND SYSTEM FOR INTERACTIVE NAVIGATION OF MEDIA FRAMES | NEHCHIRI, KOOROSH | 56d overdue |
| 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 |
| Art Unit | Apps |
|---|---|
| 2174 | 1 |
| 2178 | 1 |
| 2613 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18504119 | METHOD AND SYSTEM FOR INTERACTIVE NAVIGATION OF MEDIA FRAMES | NEHCHIRI, KOOROSH | 2174 | §103 | Non-Final OA | 56d overdue | Pending | Nov 07, 2023 |
| 18503862 | Artificial Intelligence-Driven Automated Frame-to-Frame Panel Reading Experience for Graphic Narratives | ZUBERI, MOHAMMED H | 2178 | §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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