Prosecution Insights
Prosecution Insights
6 pending office actions • 6 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 (33%) |
| §103 only | 4 (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 |
|---|---|---|---|
| ALDERSON, ANNE-MARIE K | 1 | 33.3% | +40.0% |
| NASSER, ROBERT L | 1 | 73.1% | +10.8% |
| MALAMUD, DEBORAH LESLIE | 1 | 78.4% | +10.1% |
| ORANGE, DAVID BENJAMIN | 1 | 33.8% | +30.8% |
| BARNES JR, CARL E | 1 | 32.2% | +24.2% |
| KHATTAR, RAJESH | 1 | 36.2% | +35.2% |
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 |
|---|---|---|---|
| 18291164 | METHOD FOR EXTRACTING HEART RATE VARIABILITY FEATURE VALUE | NASSER, ROBERT L | 13d |
| 17356111 | METHOD TO DISPLAY LESION READINGS RESULT | KHATTAR, RAJESH | 56d |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17586286 | METHOD FOR DETECTING SERIAL SECTION OF MEDICAL IMAGE | BARNES JR, CARL E | 45d overdue |
| 18260461 | METHOD FOR CLASSIFICATION USING DEEP LEARNING MODEL | ORANGE, DAVID BENJAMIN | 12d |
| 18291164 | METHOD FOR EXTRACTING HEART RATE VARIABILITY FEATURE VALUE | NASSER, ROBERT L | 13d |
| 18870269 | METHOD FOR PREDICTING BIO EVENT | ALDERSON, ANNE-MARIE K | 14d |
| 18556517 | BIOLOGICAL SIGNAL ANALYSIS METHOD | MALAMUD, DEBORAH LESLIE | 23d |
| 17356111 | METHOD TO DISPLAY LESION READINGS RESULT | KHATTAR, RAJESH | 56d |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3992 | 1 |
| 3792 | 1 |
| 2663 | 1 |
| 2178 | 1 |
| 3684 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18870269 | METHOD FOR PREDICTING BIO EVENT | ALDERSON, ANNE-MARIE K | 3682 | §103 | Final Rejection | 14d | Pending | Nov 27, 2024 |
| 18291164 | METHOD FOR EXTRACTING HEART RATE VARIABILITY FEATURE VALUE | NASSER, ROBERT L | 3992 | §101 | Final Rejection | 13d | Pending | Jan 22, 2024 |
| 18556517 | BIOLOGICAL SIGNAL ANALYSIS METHOD | MALAMUD, DEBORAH LESLIE | 3792 | §103 | Non-Final OA | 23d | Pending | Oct 20, 2023 |
| 18260461 | METHOD FOR CLASSIFICATION USING DEEP LEARNING MODEL | ORANGE, DAVID BENJAMIN | 2663 | §103 | Non-Final OA | 12d | Pending | Jul 05, 2023 |
| 17586286 | METHOD FOR DETECTING SERIAL SECTION OF MEDICAL IMAGE | BARNES JR, CARL E | 2178 | §103 | Non-Final OA | 45d overdue | Pending | Jan 27, 2022 |
| 17356111 | METHOD TO DISPLAY LESION READINGS RESULT | KHATTAR, RAJESH | 3684 | §101 | Final Rejection | 56d | Pending | Jun 23, 2021 |
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