Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
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 | 1 (33%) |
| §103 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 |
|---|---|---|---|
| THOMPSON, ALMA BENNETT | 1 | — | — |
| MANOSKEY, JOSEPH D | 1 | 93.3% | -9.4% |
| BYCER, ERIC J | 1 | 66.7% | +42.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17937254 | ANOMALY DETECTION USING HASH SIGNATURE GENERATION FOR MODEL-BASED SCORING | BYCER, ERIC J | 72d |
| 18194190 | EFFICIENT TRAINING OF MACHINE LEARNING MODELS FOR LOG RECORD ANALYSIS | MANOSKEY, JOSEPH D | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17937254 | ANOMALY DETECTION USING HASH SIGNATURE GENERATION FOR MODEL-BASED SCORING | BYCER, ERIC J | 72d |
| Art Unit | Apps |
|---|---|
| 2113 | 1 |
| 2141 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18511550 | PREDICTING CAUSAL IMPACT FROM SCENARIOS | THOMPSON, ALMA BENNETT | — | §103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18194190 | EFFICIENT TRAINING OF MACHINE LEARNING MODELS FOR LOG RECORD ANALYSIS | MANOSKEY, JOSEPH D | 2113 | §101 | Non-Final OA | — | Pending | Mar 31, 2023 |
| 17937254 | ANOMALY DETECTION USING HASH SIGNATURE GENERATION FOR MODEL-BASED SCORING | BYCER, ERIC J | 2141 | §101§103 | Non-Final OA | 72d | Pending | Sep 30, 2022 |
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