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. 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 (33%) |
| §101 + other | 2 (67%) |
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 |
|---|---|---|---|
| SACKALOSKY, COREY MATTHEW | 1 | 61.9% | +26.5% |
| WAJE, CARLO C | 1 | 67.9% | +33.8% |
| HAN, KYU HYUNG | 1 | 50.0% | +29.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17547204 | PREDICTION MODELING FOR DIFFERENCING TECHNIQUE | WAJE, CARLO C | 22d overdue |
| 17728238 | SUPERVISED DIMENSIONALITY REDUCTION FOR LEVEL-BASED HIERARCHICAL TRAINING DATA | SACKALOSKY, COREY MATTHEW | — |
| 17338243 | UNCERTAINTY DETERMINATION | HAN, KYU HYUNG | — |
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 |
|---|---|---|---|
| 17547204 | PREDICTION MODELING FOR DIFFERENCING TECHNIQUE | WAJE, CARLO C | 22d overdue |
| 17728238 | SUPERVISED DIMENSIONALITY REDUCTION FOR LEVEL-BASED HIERARCHICAL TRAINING DATA | SACKALOSKY, COREY MATTHEW | — |
| 17338243 | UNCERTAINTY DETERMINATION | HAN, KYU HYUNG | — |
| Art Unit | Apps |
|---|---|
| 2128 | 1 |
| 2151 | 1 |
| 2123 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17728238 | SUPERVISED DIMENSIONALITY REDUCTION FOR LEVEL-BASED HIERARCHICAL TRAINING DATA | SACKALOSKY, COREY MATTHEW | 2128 | §101§112 | Non-Final OA | — | Pending | Apr 25, 2022 |
| 17547204 | PREDICTION MODELING FOR DIFFERENCING TECHNIQUE | WAJE, CARLO C | 2151 | §101 | Final Rejection | 22d overdue | Pending | Dec 09, 2021 |
| 17338243 | UNCERTAINTY DETERMINATION | HAN, KYU HYUNG | 2123 | §101§103§112 | Final Rejection | — | Pending | Jun 03, 2021 |
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