Prosecution Insights
Prosecution Insights
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 + other | 1 (25%) |
| §103 only | 1 (25%) |
| Double-patenting + other | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| THOMAS, COURTNEY D | 1 | 89.1% | +9.2% |
| DOWNEY, JOHN R | 1 | 59.6% | +23.7% |
| CLOW, LORI A | 1 | 64.0% | +28.6% |
| BAILEY, STEVEN WILLIAM | 1 | 32.0% | +20.2% |
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 |
|---|---|---|---|
| 18844018 | OVERALL ABLATION WORKFLOW SYSTEM | THOMAS, COURTNEY D | — |
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 |
|---|---|---|---|
| 17110101 | MACHINE LEARNING USING SIMULATED CARDIOGRAMS | CLOW, LORI A | 127d overdue |
| 16042953 | GENERATING A MODEL LIBRARY OF MODELS OF AN ELECTROMAGNETIC SOURCE | BAILEY, STEVEN WILLIAM | — |
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 |
|---|---|---|---|
| 17110101 | MACHINE LEARNING USING SIMULATED CARDIOGRAMS | CLOW, LORI A | 127d overdue |
| 18559049 | GUIDING IMPLANTATION OF AN ENERGY DELIVERY COMPONENT IN A BODY | DOWNEY, JOHN R | — |
| 16042953 | GENERATING A MODEL LIBRARY OF MODELS OF AN ELECTROMAGNETIC SOURCE | BAILEY, STEVEN WILLIAM | — |
| Art Unit | Apps |
|---|---|
| 1687 | 2 |
| 2884 | 1 |
| 3792 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18844018 | OVERALL ABLATION WORKFLOW SYSTEM | THOMAS, COURTNEY D | 2884 | §103 | Non-Final OA | — | Pending | Sep 04, 2024 |
| 18559049 | GUIDING IMPLANTATION OF AN ENERGY DELIVERY COMPONENT IN A BODY | DOWNEY, JOHN R | 3792 | §102§103DP | Final Rejection | — | Pending | Nov 04, 2023 |
| 17110101 | MACHINE LEARNING USING SIMULATED CARDIOGRAMS | CLOW, LORI A | 1687 | §102§112 | Non-Final OA | 127d overdue | Pending | Dec 02, 2020 |
| 16042953 | GENERATING A MODEL LIBRARY OF MODELS OF AN ELECTROMAGNETIC SOURCE | BAILEY, STEVEN WILLIAM | 1687 | §101§102§103§112DP | Non-Final OA | — | Pending | Jul 23, 2018 |
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