Prosecution Insights
Prosecution Insights
4 pending office actions • 2 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
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 only | 3 (75%) |
| 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 |
|---|---|---|---|
| LI, HELEN | 1 | 67.2% | +18.3% |
| SIPPEL, MOLLY CLARKE | 1 | 52.2% | +26.1% |
| MINOR, AYANNA YVETTE | 1 | 18.8% | +24.9% |
| FRUNZI, VICTORIA E. | 1 | 25.2% | +24.7% |
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 |
|---|---|---|---|
| 18523334 | SYSTEM AND METHOD OF GENERATING DIGITAL ITEM RECOMMENDATIONS | FRUNZI, VICTORIA E. | 22d overdue |
| 18774353 | METHOD AND A SYSTEM OF DETERMINING A TRAJECTORY FOR AN AUTONOMOUS VEHICLE | LI, HELEN | 16d overdue |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | — |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | — |
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 |
|---|---|---|---|
| 18523334 | SYSTEM AND METHOD OF GENERATING DIGITAL ITEM RECOMMENDATIONS | FRUNZI, VICTORIA E. | 22d overdue |
| 18774353 | METHOD AND A SYSTEM OF DETERMINING A TRAJECTORY FOR AN AUTONOMOUS VEHICLE | LI, HELEN | 16d overdue |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | — |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | — |
| Art Unit | Apps |
|---|---|
| 3665 | 1 |
| 3689 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18774353 | METHOD AND A SYSTEM OF DETERMINING A TRAJECTORY FOR AN AUTONOMOUS VEHICLE | LI, HELEN | 3665 | §103§112 | Non-Final OA | 16d overdue | Pending | Jul 16, 2024 |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | — | §101 | Non-Final OA | — | Pending | Dec 22, 2023 |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | — | §101 | Non-Final OA | — | Pending | Dec 22, 2023 |
| 18523334 | SYSTEM AND METHOD OF GENERATING DIGITAL ITEM RECOMMENDATIONS | FRUNZI, VICTORIA E. | 3689 | §101 | Final Rejection | 22d overdue | Pending | Nov 29, 2023 |
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