Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
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 (33%) |
| §103 only | 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 |
|---|---|---|---|
| TOMBERS, JOSEPH A | 1 | 46.2% | +31.1% |
| MCCORMACK, ERIN KATHLEEN | 1 | 11.5% | +60.0% |
| FEDORKY, MEGAN TAYLOR | 1 | 29.4% | +46.7% |
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 |
|---|---|---|---|
| 17981362 | AI-enhanced Wearable Photo-Electro-Tonoarteriography (PETAG) Method And Apparatus | FEDORKY, MEGAN TAYLOR | 2d overdue |
| 17981391 | Deep Learning-Based Wearable Electro-Tonoarteriography (ETAG) Processing Method And Apparatus For Estimation of Continuous Arterial Blood Pressure | MCCORMACK, ERIN KATHLEEN | 34d |
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 |
|---|---|---|---|
| 17981362 | AI-enhanced Wearable Photo-Electro-Tonoarteriography (PETAG) Method And Apparatus | FEDORKY, MEGAN TAYLOR | 2d overdue |
| 17981391 | Deep Learning-Based Wearable Electro-Tonoarteriography (ETAG) Processing Method And Apparatus For Estimation of Continuous Arterial Blood Pressure | MCCORMACK, ERIN KATHLEEN | 34d |
| 18070493 | Wearable Apparatus For Measuring Blood Pressure Signal | TOMBERS, JOSEPH A | 56d |
| Art Unit | Apps |
|---|---|
| 3791 | 2 |
| 3796 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18070493 | Wearable Apparatus For Measuring Blood Pressure Signal | TOMBERS, JOSEPH A | 3791 | §103 | Non-Final OA | 56d | Pending | Nov 29, 2022 |
| 17981391 | Deep Learning-Based Wearable Electro-Tonoarteriography (ETAG) Processing Method And Apparatus For Estimation of Continuous Arterial Blood Pressure | MCCORMACK, ERIN KATHLEEN | 3791 | §103 | Non-Final OA | 34d | Pending | Nov 05, 2022 |
| 17981362 | AI-enhanced Wearable Photo-Electro-Tonoarteriography (PETAG) Method And Apparatus | FEDORKY, MEGAN TAYLOR | 3796 | §101 | Non-Final OA | 2d overdue | Pending | Nov 04, 2022 |
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