Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
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 |
|---|---|
| §101 only | 2 (50%) |
| §103 only | 2 (50%) |
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 |
|---|---|---|---|
| HOLTZCLAW, MICHAEL T. | 1 | 77.6% | +14.2% |
| RANKINS, WILLIAM E | 1 | 57.7% | +8.4% |
| MPAMUGO, CHINYERE | 1 | 26.6% | +26.9% |
| RAPILLO, KRISTINE K | 1 | 28.5% | +27.2% |
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 |
|---|---|---|---|
| 18180309 | EVENT-BASED DYNAMIC PATIENT COMMUNICATION | MPAMUGO, CHINYERE | 17d overdue |
| 18495487 | BITWISE RULES MATCHING ENGINE | RANKINS, WILLIAM E | 60d |
| 17934888 | MEDICAL ITEM RESUPPLY ENGINE AND ENGAGEMENT CONTROLLER | RAPILLO, KRISTINE K | 69d |
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 |
|---|---|---|---|
| 18180309 | EVENT-BASED DYNAMIC PATIENT COMMUNICATION | MPAMUGO, CHINYERE | 17d overdue |
| 18508888 | RESUPPLY ATTRITION USING MACHINE LEARNING | HOLTZCLAW, MICHAEL T. | 15d overdue |
| 17934888 | MEDICAL ITEM RESUPPLY ENGINE AND ENGAGEMENT CONTROLLER | RAPILLO, KRISTINE K | 69d |
| Art Unit | Apps |
|---|---|
| 3796 | 1 |
| 3694 | 1 |
| 3685 | 1 |
| 3682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18508888 | RESUPPLY ATTRITION USING MACHINE LEARNING | HOLTZCLAW, MICHAEL T. | 3796 | §103 | Non-Final OA | 15d overdue | Pending | Nov 14, 2023 |
| 18495487 | BITWISE RULES MATCHING ENGINE | RANKINS, WILLIAM E | 3694 | §101 | Final Rejection | 60d | Pending | Oct 26, 2023 |
| 18180309 | EVENT-BASED DYNAMIC PATIENT COMMUNICATION | MPAMUGO, CHINYERE | 3685 | §101 | Non-Final OA | 17d overdue | Pending | Mar 08, 2023 |
| 17934888 | MEDICAL ITEM RESUPPLY ENGINE AND ENGAGEMENT CONTROLLER | RAPILLO, KRISTINE K | 3682 | §103 | Final Rejection | 69d | Pending | Sep 23, 2022 |
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