Prosecution Insights
Prosecution Insights
8 pending office actions • 7 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 17 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 8 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. 8 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 (12%) |
| §103 only | 7 (88%) |
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 |
|---|---|---|---|
| REAGAN, JAMES A | 1 | 71.0% | +20.2% |
| PARRA, OMAR S | 1 | 74.0% | +9.6% |
| SANTIAGO-MERCED, FRANCIS Z | 1 | 28.7% | +40.9% |
| SAINT CYR, JEAN D | 1 | 60.3% | +8.4% |
| HENRY, MATTHEW D | 1 | 30.2% | +20.9% |
| NELSON, FREDA ANN | 1 | 42.6% | +5.6% |
| TELAN, MICHAEL R | 1 | 42.5% | +26.8% |
| NGUYEN, THUONG | 1 | 68.2% | +32.0% |
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 |
|---|---|---|---|
| 18343297 | PREDICTIVE SUSTAINABILITY ANALYTICS FOR SOFTWARE DEPLOYMENTS | NELSON, FREDA ANN | 1d overdue |
| 18644737 | DIGITAL FORECASTER | SANTIAGO-MERCED, FRANCIS Z | 12d |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17066279 | SYSTEMS AND METHODS FOR GENERATING MACHINE LEARNING-DRIVEN TELECAST FORECASTS | NGUYEN, THUONG | 2d overdue |
| 18644737 | DIGITAL FORECASTER | SANTIAGO-MERCED, FRANCIS Z | 12d |
| 18338097 | DYNAMIC IN-SCENE SECONDARY CONTENT INSERTION | TELAN, MICHAEL R | 23d |
| 18990798 | HOME ENTERTAINMENT CONTENT AND/OR ENHANCED TICKETING SYSTEM AND METHOD | REAGAN, JAMES A | 42d |
| 18475947 | DYNAMIC MODEL SELECTION FOR ACCURATE TIME SERIES FORECASTING | HENRY, MATTHEW D | 70d |
| Art Unit | Apps |
|---|---|
| 3625 | 2 |
| 3697 | 1 |
| 2421 | 1 |
| 2425 | 1 |
| 3628 | 1 |
| 2426 | 1 |
| 2416 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18990798 | HOME ENTERTAINMENT CONTENT AND/OR ENHANCED TICKETING SYSTEM AND METHOD | REAGAN, JAMES A | 3697 | §103 | Final Rejection | 42d | Pending | Dec 20, 2024 |
| 18748929 | GENRE-ADAPTIVE ANALYTIC EXPONENTIAL MODELING FOR ACCURATE TIME SERIES FORECASTING WITH MINIMAL DATA | PARRA, OMAR S | 2421 | §103 | Non-Final OA | 28d | Pending | Jun 20, 2024 |
| 18644737 | DIGITAL FORECASTER | SANTIAGO-MERCED, FRANCIS Z | 3625 | §103 | Non-Final OA | 12d | Pending | Apr 24, 2024 |
| 18526246 | TIERED MANIFEST MANIPULATION AND PRE-RENDERING WORKFLOW | SAINT CYR, JEAN D | 2425 | §103 | Final Rejection | 83d | Pending | Dec 01, 2023 |
| 18475947 | DYNAMIC MODEL SELECTION FOR ACCURATE TIME SERIES FORECASTING | HENRY, MATTHEW D | 3625 | §103 | Non-Final OA | 70d | Pending | Sep 27, 2023 |
| 18343297 | PREDICTIVE SUSTAINABILITY ANALYTICS FOR SOFTWARE DEPLOYMENTS | NELSON, FREDA ANN | 3628 | §101 | Non-Final OA | 1d overdue | Pending | Jun 28, 2023 |
| 18338097 | DYNAMIC IN-SCENE SECONDARY CONTENT INSERTION | TELAN, MICHAEL R | 2426 | §103 | Non-Final OA | 23d | Pending | Jun 20, 2023 |
| 17066279 | SYSTEMS AND METHODS FOR GENERATING MACHINE LEARNING-DRIVEN TELECAST FORECASTS | NGUYEN, THUONG | 2416 | §103 | Non-Final OA | 2d overdue | Pending | Oct 08, 2020 |
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