9 pending office actions • 8 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 9 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. 9 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 (11%) |
| §103 only | 7 (78%) |
| §112 only | 1 (11%) |
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 |
|---|---|---|---|
| PYO, MONICA M | 1 | 83.0% | +35.3% |
| SAMARA, HUSAM TURKI | 1 | 55.6% | +16.5% |
| HOTALING, JOHN M | 1 | 73.0% | +8.2% |
| ALKHATEEB, NOOR | 1 | 53.6% | +50.6% |
| LE, JOHN H | 1 | 87.9% | +7.4% |
| NGUYEN, MAIKHANH | 1 | 87.2% | +28.2% |
| LU, HWEI-MIN | 1 | 62.6% | +40.5% |
| NGUYEN, NHAT HUY T | 1 | 54.0% | +24.2% |
| BREEN, JAKE TIMOTHY | 1 | 61.5% | +71.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18506415 | SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE | LE, JOHN H | 13d |
| 18223761 | AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT | NGUYEN, MAIKHANH | 19d |
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17942458 | SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING | BREEN, JAKE TIMOTHY | 21d |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18787894 | DATA ANALYTICS METHODS FOR SPATIAL DATA, AND RELATED SYSTEMS AND DEVICES | SAMARA, HUSAM TURKI | 53d overdue |
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 32d overdue |
| 18204108 | MACHINE LEARNING MODEL SEARCH USING META DATA | LU, HWEI-MIN | 10d overdue |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | ALKHATEEB, NOOR | 13d |
| 18223761 | AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT | NGUYEN, MAIKHANH | 19d |
| 17942458 | SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING | BREEN, JAKE TIMOTHY | 21d |
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
| Art Unit | Apps |
|---|---|
| 2161 | 2 |
| 3992 | 1 |
| 2193 | 1 |
| 2857 | 1 |
| 2144 | 1 |
| 2142 | 1 |
| 2147 | 1 |
| 2143 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 2161 | §103 | Non-Final OA | 28d | Pending | Aug 12, 2024 |
| 18787894 | DATA ANALYTICS METHODS FOR SPATIAL DATA, AND RELATED SYSTEMS AND DEVICES | SAMARA, HUSAM TURKI | 2161 | §103 | Non-Final OA | 53d overdue | Pending | Jul 29, 2024 |
| 18442786 | METHODS FOR SELF-ADAPTIVE TIME SERIES FORECASTING, AND RELATED SYSTEMS AND APPARATUS | HOTALING, JOHN M | 3992 | §103 | Non-Final OA | 60d overdue | Pending | Feb 15, 2024 |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | ALKHATEEB, NOOR | 2193 | §103 | Non-Final OA | 13d | Pending | Nov 10, 2023 |
| 18506415 | SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE | LE, JOHN H | 2857 | §103 | Non-Final OA | 13d | Pending | Nov 10, 2023 |
| 18223761 | AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT | NGUYEN, MAIKHANH | 2144 | §103 | Non-Final OA | 19d | Pending | Jul 19, 2023 |
| 18204108 | MACHINE LEARNING MODEL SEARCH USING META DATA | LU, HWEI-MIN | 2142 | §112 | Non-Final OA | 10d overdue | Pending | May 31, 2023 |
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 2147 | §103 | Non-Final OA | 32d overdue | Pending | Dec 09, 2022 |
| 17942458 | SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING | BREEN, JAKE TIMOTHY | 2143 | §101 | Final Rejection | 21d | Pending | Sep 12, 2022 |
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