Prosecution Insights
Prosecution Insights
9 pending office actions • 8 art units • 9 examiners • 0 of 9 (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. 9 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. 9 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 (11%) |
| §103 only | 7 (78%) |
| §102 only | 1 (11%) |
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 |
|---|---|---|---|
| HANKS, BENJAMIN L | 1 | 21.0% | +29.9% |
| PATEL, SHREYANS A | 1 | 88.9% | +7.7% |
| PEREZ-ARROYO, RAQUEL | 1 | 58.1% | +31.7% |
| BADAWI, ANGIE M | 1 | 58.9% | +38.5% |
| KIM, HEE SOO | 1 | 79.1% | +0.0% |
| NEURAUTER JR, GEORGE C | 1 | 76.3% | +10.7% |
| BARTLEY, KENNETH | 1 | 36.3% | +28.8% |
| HAYNES, DAWN TRINAH | 1 | 2.9% | +0.7% |
| SITTNER, MICHAEL J | 1 | 11.1% | +14.7% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18757256 | CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE | PATEL, SHREYANS A | 17d overdue |
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 |
|---|---|---|---|
| 17950867 | RECEIVING PRESCRIPTION REFILL REQUESTS VIA VOICE AND/OR FREE-TEXT CHAT CONVERSATIONS BETWEEN A PATIENT AND AN AUTOMATED AGENT | HAYNES, DAWN TRINAH | 60d overdue |
| 17955298 | CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE | NEURAUTER JR, GEORGE C | 4d overdue |
| 17746820 | AUTOMATIC PROJECT PLANNING, BUDGETING, AND TRACKING TOOL | SITTNER, MICHAEL J | 13d |
| 18763361 | IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION | HANKS, BENJAMIN L | 28d |
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 |
|---|---|---|---|
| 17950861 | OPTIMIZING MESSAGING TO SERVICE PRINCIPALS USING MACHINE LEARNING | BARTLEY, KENNETH | 18d overdue |
| 18618986 | CLUSTER INTERPRETATION USING A PERSISTENCE MEASURE | PEREZ-ARROYO, RAQUEL | 4d overdue |
| 17955298 | CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE | NEURAUTER JR, GEORGE C | 4d overdue |
| 17746820 | AUTOMATIC PROJECT PLANNING, BUDGETING, AND TRACKING TOOL | SITTNER, MICHAEL J | 13d |
| 18763361 | IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION | HANKS, BENJAMIN L | 28d |
| 18311757 | AUTOMATICALLY DETECTING ERRORS IN COMPUTER-BASED ANALYTIC METHOD ROUTING OBJECTS | BADAWI, ANGIE M | 30d |
| Art Unit | Apps |
|---|---|
| 3684 | 2 |
| 2659 | 1 |
| 2169 | 1 |
| 2179 | 1 |
| 2443 | 1 |
| 2459 | 1 |
| 3686 | 1 |
| 3621 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18763361 | IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION | HANKS, BENJAMIN L | 3684 | §103 | Non-Final OA | 28d | Pending | Jul 03, 2024 |
| 18757256 | CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE | PATEL, SHREYANS A | 2659 | §103 | Non-Final OA | 17d overdue | Pending | Jun 27, 2024 |
| 18618986 | CLUSTER INTERPRETATION USING A PERSISTENCE MEASURE | PEREZ-ARROYO, RAQUEL | 2169 | §103 | Non-Final OA | 4d overdue | Pending | Mar 27, 2024 |
| 18311757 | AUTOMATICALLY DETECTING ERRORS IN COMPUTER-BASED ANALYTIC METHOD ROUTING OBJECTS | BADAWI, ANGIE M | 2179 | §102 | Non-Final OA | 30d | Pending | May 03, 2023 |
| 18182248 | USING MACHINE LEARNING TECHNIQUES TO ROUTE CONSUMER INTERACTIONS FROM AN AUTOMATED MODE OF COMMUNICATION TO A SECOND MODE OF COMMUNICATION | KIM, HEE SOO | 2443 | §103 | Final Rejection | 84d | Pending | Mar 10, 2023 |
| 17955298 | CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE | NEURAUTER JR, GEORGE C | 2459 | §101 | Final Rejection | 4d overdue | Pending | Sep 28, 2022 |
| 17950861 | OPTIMIZING MESSAGING TO SERVICE PRINCIPALS USING MACHINE LEARNING | BARTLEY, KENNETH | 3684 | §103 | Non-Final OA | 18d overdue | Pending | Sep 22, 2022 |
| 17950867 | RECEIVING PRESCRIPTION REFILL REQUESTS VIA VOICE AND/OR FREE-TEXT CHAT CONVERSATIONS BETWEEN A PATIENT AND AN AUTOMATED AGENT | HAYNES, DAWN TRINAH | 3686 | §103 | Final Rejection | 60d overdue | Pending | Sep 22, 2022 |
| 17746820 | AUTOMATIC PROJECT PLANNING, BUDGETING, AND TRACKING TOOL | SITTNER, MICHAEL J | 3621 | §103 | Non-Final OA | 13d | Pending | May 17, 2022 |
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