Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 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 |
|---|---|
| §103 only | 3 (100%) |
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 |
|---|---|---|---|
| TRAN, LOC | 1 | 83.6% | +23.8% |
| REAGAN, JAMES A | 1 | 71.0% | +20.2% |
| JOHANSEN, JOHN E | 1 | 76.7% | +26.1% |
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.
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 |
|---|---|---|---|
| 18642347 | TECHNOLOGIES FOR ASSESSING BOUNDARIES OF INTENDED USE DOMAIN BASED ON VALIDATION SPACE | REAGAN, JAMES A | 91d overdue |
| 19042267 | Machine Learning Technologies for Predicting Results of Cable Fire Tests | TRAN, LOC | 19d overdue |
| 18094106 | SYSTEM AND METHOD FOR OPERATIONAL ANALYSIS OF ENERGY STORAGE DEVICES | JOHANSEN, JOHN E | 84d |
| Art Unit | Apps |
|---|---|
| 2164 | 1 |
| 3697 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19042267 | Machine Learning Technologies for Predicting Results of Cable Fire Tests | TRAN, LOC | 2164 | §103 | Non-Final OA | 19d overdue | Pending | Jan 31, 2025 |
| 18642347 | TECHNOLOGIES FOR ASSESSING BOUNDARIES OF INTENDED USE DOMAIN BASED ON VALIDATION SPACE | REAGAN, JAMES A | 3697 | §103 | Non-Final OA | 91d overdue | Pending | Apr 22, 2024 |
| 18094106 | SYSTEM AND METHOD FOR OPERATIONAL ANALYSIS OF ENERGY STORAGE DEVICES | JOHANSEN, JOHN E | 2187 | §103 | Non-Final OA | 84d | Pending | Jan 06, 2023 |
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