Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 | 4 (100%) |
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, BENEDICT E | 1 | 87.5% | +13.7% |
| TSWEI, YU-JANG | 1 | 84.3% | +16.9% |
| PEREN, VINCENT ROBERT | 1 | 69.5% | +20.4% |
| COOK, BRIAN S | 1 | 61.6% | +29.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18518540 | SIMULATION OF THREE-DIMENSIONAL FABRIC DRAPING USING MACHINE LEARNING MODEL | TSWEI, YU-JANG | 9d overdue |
| 18421534 | METHOD AND APPARATUS FOR ESTIMATING PHYSICAL PROPERTY PARAMETER OF TARGET FABRIC | LEE, BENEDICT E | 5d |
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 |
|---|---|---|---|
| 18518540 | SIMULATION OF THREE-DIMENSIONAL FABRIC DRAPING USING MACHINE LEARNING MODEL | TSWEI, YU-JANG | 9d overdue |
| 18510667 | AUTOMATIC ARRANGEMENT OF PATTERNS FOR GARMENT SIMULATION USING NEURAL NETWORK MODEL | PEREN, VINCENT ROBERT | 5d overdue |
| 17820246 | GENERATING ENHANCED EXPLODED VIEW FOR DESIGN OBJECT | COOK, BRIAN S | 3d overdue |
| 18421534 | METHOD AND APPARATUS FOR ESTIMATING PHYSICAL PROPERTY PARAMETER OF TARGET FABRIC | LEE, BENEDICT E | 5d |
| Art Unit | Apps |
|---|---|
| 2665 | 1 |
| 2614 | 1 |
| 2617 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18421534 | METHOD AND APPARATUS FOR ESTIMATING PHYSICAL PROPERTY PARAMETER OF TARGET FABRIC | LEE, BENEDICT E | 2665 | §103 | Non-Final OA | 5d | Pending | Jan 24, 2024 |
| 18518540 | SIMULATION OF THREE-DIMENSIONAL FABRIC DRAPING USING MACHINE LEARNING MODEL | TSWEI, YU-JANG | 2614 | §103 | Final Rejection | 9d overdue | Pending | Nov 23, 2023 |
| 18510667 | AUTOMATIC ARRANGEMENT OF PATTERNS FOR GARMENT SIMULATION USING NEURAL NETWORK MODEL | PEREN, VINCENT ROBERT | 2617 | §103 | Non-Final OA | 5d overdue | Pending | Nov 16, 2023 |
| 17820246 | GENERATING ENHANCED EXPLODED VIEW FOR DESIGN OBJECT | COOK, BRIAN S | 2187 | §103 | Final Rejection | 3d overdue | Pending | Aug 16, 2022 |
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