Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (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 |
|---|---|
| §101 only | 1 (20%) |
| §101 + other | 3 (60%) |
| §112 only | 1 (20%) |
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 |
|---|---|---|---|
| NEWAY, SAMUEL G | 1 | 75.2% | +7.4% |
| REPSHER III, JOHN T | 1 | 58.2% | +47.4% |
| STORK, KYLE R | 1 | 63.5% | +28.5% |
| ROSEN, ELIZABETH H | 1 | 45.9% | +51.3% |
| HENRY, MATTHEW D | 1 | 30.0% | +20.5% |
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 |
|---|---|---|---|
| 17726015 | CONTENT DISTRIBUTION VIA USAGE TRACKING NON-FUNGIBLE TOKENS | ROSEN, ELIZABETH H | 105d overdue |
| 18471513 | HALLUCINATION DETECTION AS A METRIC FOR DETERMINING ACCURACY OF RESULTS FOR LARGE LANGUAGE MODELS IN MACHINE LEARNING | NEWAY, SAMUEL G | 14d |
| 16897563 | SYSTEM AND METHOD FOR ANALYZING AND SCORING BUSINESSES AND CREATING CORRESPONDING INDICES | HENRY, MATTHEW D | 14d |
| 17969596 | RELATIONAL PRESENTATION OF COMMUNICATIONS AND APPLICATION FOR TRANSACTION ANALYSIS | STORK, KYLE R | — |
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 |
|---|---|---|---|
| 17726015 | CONTENT DISTRIBUTION VIA USAGE TRACKING NON-FUNGIBLE TOKENS | ROSEN, ELIZABETH H | 105d overdue |
| 16897563 | SYSTEM AND METHOD FOR ANALYZING AND SCORING BUSINESSES AND CREATING CORRESPONDING INDICES | HENRY, MATTHEW D | 14d |
| 18198329 | PRESENTATION AND SORTING OF GENERAL DATA | REPSHER III, JOHN T | — |
| 17969596 | RELATIONAL PRESENTATION OF COMMUNICATIONS AND APPLICATION FOR TRANSACTION ANALYSIS | STORK, KYLE R | — |
| Art Unit | Apps |
|---|---|
| 2657 | 1 |
| 2143 | 1 |
| 2128 | 1 |
| 3693 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18471513 | HALLUCINATION DETECTION AS A METRIC FOR DETERMINING ACCURACY OF RESULTS FOR LARGE LANGUAGE MODELS IN MACHINE LEARNING | NEWAY, SAMUEL G | 2657 | §101§102§112 | Final Rejection | 14d | Pending | Sep 21, 2023 |
| 18198329 | PRESENTATION AND SORTING OF GENERAL DATA | REPSHER III, JOHN T | 2143 | §112 | Non-Final OA | — | Pending | May 17, 2023 |
| 17969596 | RELATIONAL PRESENTATION OF COMMUNICATIONS AND APPLICATION FOR TRANSACTION ANALYSIS | STORK, KYLE R | 2128 | §101§103 | Non-Final OA | — | Pending | Oct 19, 2022 |
| 17726015 | CONTENT DISTRIBUTION VIA USAGE TRACKING NON-FUNGIBLE TOKENS | ROSEN, ELIZABETH H | 3693 | §101§103 | Non-Final OA | 105d overdue | Pending | Apr 21, 2022 |
| 16897563 | SYSTEM AND METHOD FOR ANALYZING AND SCORING BUSINESSES AND CREATING CORRESPONDING INDICES | HENRY, MATTHEW D | 3625 | §101 | Non-Final OA | 14d | Pending | Jun 10, 2020 |
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