Prosecution Insights
Prosecution Insights
10 pending office actions • 8 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 9 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 | 1 (10%) |
| §101 + other | 5 (50%) |
| §103 only | 2 (20%) |
| Multi-statute (no §101) | 1 (10%) |
| No statute on record | 1 (10%) |
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 |
|---|---|---|---|
| PATEL, JAY M | 1 | 64.7% | +38.7% |
| CONYERS, DAWAUNE A | 1 | 65.7% | +19.7% |
| KANAAN, LIZA TONY | 1 | 22.6% | +34.0% |
| HENEGHAN, MATTHEW E | 1 | 83.7% | +5.2% |
| BORISSOV, IGOR N | 1 | 28.1% | +41.6% |
| MORICE DE VARGAS, SARA JESSICA | 1 | 9.7% | +26.1% |
| TRAN, CHRISTINE M | 1 | 41.1% | +23.8% |
| CHRISTIANSON, SKYLAR LINDSEY | 1 | 58.6% | +29.8% |
| ENGLAND, DAVID E | 1 | 55.2% | -0.1% |
| ORR, HENRY W | 1 | 50.5% | +37.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17731505 | System for Integrating a Detectable Medical Module | ENGLAND, DAVID E | 417d overdue |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 18131256 | AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE | TRAN, CHRISTINE M | 6d |
| 18315182 | PATIENT FRICTION COEFFICIENT MODEL | MORICE DE VARGAS, SARA JESSICA | 30d |
| 18989609 | MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA | PATEL, JAY M | — |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | — |
| 18333973 | SMART LABELING MANAGEMENT | BORISSOV, IGOR N | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 18131256 | AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE | TRAN, CHRISTINE M | 6d |
| 18315182 | PATIENT FRICTION COEFFICIENT MODEL | MORICE DE VARGAS, SARA JESSICA | 30d |
| 17308415 | AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT | ORR, HENRY W | 42d |
| 18989609 | MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA | PATEL, JAY M | — |
| 18956681 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | — |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | — |
| 18333973 | SMART LABELING MANAGEMENT | BORISSOV, IGOR N | — |
| Art Unit | Apps |
|---|---|
| 3992 | 2 |
| 2159 | 1 |
| 3683 | 1 |
| 3685 | 1 |
| 3681 | 1 |
| 3695 | 1 |
| 3792 | 1 |
| 2172 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18989609 | MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA | PATEL, JAY M | — | §101§102 | Non-Final OA | — | Pending | Dec 20, 2024 |
| 18956681 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | 2159 | §103 | Final Rejection | — | Pending | Nov 22, 2024 |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | 3683 | §101§103 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18587633 | System and Method for Timely Notification of Treatment | HENEGHAN, MATTHEW E | 3992 | Other | Final Rejection | 38d overdue | Pending | Feb 26, 2024 |
| 18333973 | SMART LABELING MANAGEMENT | BORISSOV, IGOR N | 3685 | §101§102 | Non-Final OA | — | Pending | Jun 13, 2023 |
| 18315182 | PATIENT FRICTION COEFFICIENT MODEL | MORICE DE VARGAS, SARA JESSICA | 3681 | §101§103§112 | Non-Final OA | 30d | Pending | May 10, 2023 |
| 18131256 | AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE | TRAN, CHRISTINE M | 3695 | §101§103 | Final Rejection | 6d | Pending | Apr 05, 2023 |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 3792 | §101 | Non-Final OA | 15d overdue | Pending | Mar 24, 2023 |
| 17731505 | System for Integrating a Detectable Medical Module | ENGLAND, DAVID E | 3992 | §103§112 | Non-Final OA | 417d overdue | Pending | Apr 28, 2022 |
| 17308415 | AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT | ORR, HENRY W | 2172 | §103 | Non-Final OA | 42d | Pending | May 05, 2021 |
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