Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (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. 5 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. 5 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 | 5 (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 |
|---|---|---|---|
| TEIXEIRA MOFFAT, JONATHAN CHARLES | 1 | 68.1% | +10.4% |
| JOHNSON, GERALD | 1 | 78.2% | +9.1% |
| TRAN, THO Q | 1 | 61.7% | +37.5% |
| HANEY, JONATHAN MICHAEL | 1 | 54.0% | +57.8% |
| DUONG, HIEN LUONGVAN | 1 | 74.7% | +23.2% |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18263324 | SYSTEM | TEIXEIRA MOFFAT, JONATHAN CHARLES | 46d overdue |
| 18055375 | COMPUTER-IMPLEMENTED METHOD | TRAN, THO Q | 17d overdue |
| 17823505 | HEALTH STATE ESTIMATION USING MACHINE LEARNING | DUONG, HIEN LUONGVAN | 28d |
| 18055377 | COMPUTER-IMPLEMENTED METHOD | HANEY, JONATHAN MICHAEL | 30d |
| Art Unit | Apps |
|---|---|
| 3791 | 2 |
| 3792 | 1 |
| 3797 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18263324 | SYSTEM | TEIXEIRA MOFFAT, JONATHAN CHARLES | 3792 | §103 | Final Rejection | 46d overdue | Pending | Jul 27, 2023 |
| 18019085 | OPTICAL SENSING MODULE | JOHNSON, GERALD | 3797 | §103 | Non-Final OA | 14d | Pending | Jan 31, 2023 |
| 18055375 | COMPUTER-IMPLEMENTED METHOD | TRAN, THO Q | 3791 | §103 | Final Rejection | 17d overdue | Pending | Nov 14, 2022 |
| 18055377 | COMPUTER-IMPLEMENTED METHOD | HANEY, JONATHAN MICHAEL | 3791 | §103 | Final Rejection | 30d | Pending | Nov 14, 2022 |
| 17823505 | HEALTH STATE ESTIMATION USING MACHINE LEARNING | DUONG, HIEN LUONGVAN | 2147 | §103 | Final Rejection | 28d | Pending | Aug 30, 2022 |
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