Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 | 2 (40%) |
| §103 only | 2 (40%) |
| §102 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 | 75.3% | +7.7% |
| SKHOUN, HICHAM | 1 | 77.6% | +5.6% |
| CORRIELUS, JEAN M | 1 | 84.2% | +13.3% |
| ROSEN, ELIZABETH H | 1 | 46.4% | +51.7% |
| HENRY, MATTHEW D | 1 | 30.2% | +20.9% |
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 |
|---|---|---|---|
| 18456580 | DATA RELATIONSHIPS STORAGE PLATFORM | CORRIELUS, JEAN M | 72d overdue |
| 16897563 | SYSTEM AND METHOD FOR ANALYZING AND SCORING BUSINESSES AND CREATING CORRESPONDING INDICES | HENRY, MATTHEW D | 14d |
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 |
|---|---|---|---|
| 17726015 | CONTENT DISTRIBUTION VIA USAGE TRACKING NON-FUNGIBLE TOKENS | ROSEN, ELIZABETH H | 105d overdue |
| 18456580 | DATA RELATIONSHIPS STORAGE PLATFORM | CORRIELUS, JEAN M | 72d overdue |
| 16897563 | SYSTEM AND METHOD FOR ANALYZING AND SCORING BUSINESSES AND CREATING CORRESPONDING INDICES | HENRY, MATTHEW D | 14d |
| Art Unit | Apps |
|---|---|
| 2657 | 1 |
| 2164 | 1 |
| 2159 | 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 | §102 | Final Rejection | 14d | Pending | Sep 21, 2023 |
| 18465677 | GROUNDING LARGE LANGUAGE MODELS USING REAL-TIME CONTENT FEEDS AND REFERENCE DATA | SKHOUN, HICHAM | 2164 | §103 | Final Rejection | 10d overdue | Pending | Sep 12, 2023 |
| 18456580 | DATA RELATIONSHIPS STORAGE PLATFORM | CORRIELUS, JEAN M | 2159 | §101 | Non-Final OA | 72d overdue | Pending | Aug 28, 2023 |
| 17726015 | CONTENT DISTRIBUTION VIA USAGE TRACKING NON-FUNGIBLE TOKENS | ROSEN, ELIZABETH H | 3693 | §103 | Final Rejection | 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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