Prosecution Insights
Prosecution Insights
5 pending office actions • 3 art units • 4 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 |
|---|---|---|---|
| HANN, JAY B | 2 | 60.8% | +34.1% |
| BOGUE, JESSE SAMUEL | 1 | 79.1% | +20.7% |
| NORRIS, URSULA LEE | 1 | 85.7% | +8.8% |
| CHAVEZ, ANTHONY RAY | 1 | 16.7% | +100.0% |
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 |
|---|---|---|---|
| 18838328 | BACK ALLOCATION METHOD | NORRIS, URSULA LEE | 9d |
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 |
|---|---|---|---|
| 17809669 | SYSTEM AND METHOD FOR CORRELATING OIL DISTRIBUTION DURING DRAINAGE AND IMBIBITION USING MACHINE LEARNING | CHAVEZ, ANTHONY RAY | 34d |
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 |
|---|---|---|---|
| 17636281 | AN INTEGRATED GEOMECHANICS MODEL FOR PREDICTING HYDROCARBON AND MIGRATION PATHWAYS | HANN, JAY B | 9d overdue |
| 17733882 | SYSTEM AND METHOD FOR EFFECTIVE HYDROCARBON RESERVOIR PRESSURE PREDICTION AND CONTROL | HANN, JAY B | 5d overdue |
| 19203741 | SYSTEM AND METHOD FOR GENERATION AND EXTRACTION OF FOSSIL FUEL AND HYDROGEN FROM A GEOLOGIC FORMATION WITH INCREASED ENERGY EFFICIENCY | BOGUE, JESSE SAMUEL | 19d |
| 17809669 | SYSTEM AND METHOD FOR CORRELATING OIL DISTRIBUTION DURING DRAINAGE AND IMBIBITION USING MACHINE LEARNING | CHAVEZ, ANTHONY RAY | 34d |
| Art Unit | Apps |
|---|---|
| 2186 | 3 |
| 3746 | 1 |
| 3676 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19203741 | SYSTEM AND METHOD FOR GENERATION AND EXTRACTION OF FOSSIL FUEL AND HYDROGEN FROM A GEOLOGIC FORMATION WITH INCREASED ENERGY EFFICIENCY | BOGUE, JESSE SAMUEL | 3746 | §103 | Non-Final OA | 19d | Pending | May 09, 2025 |
| 18838328 | BACK ALLOCATION METHOD | NORRIS, URSULA LEE | 3676 | §103 | Final Rejection | 9d | Pending | Aug 14, 2024 |
| 17809669 | SYSTEM AND METHOD FOR CORRELATING OIL DISTRIBUTION DURING DRAINAGE AND IMBIBITION USING MACHINE LEARNING | CHAVEZ, ANTHONY RAY | 2186 | §103 | Final Rejection | 34d | Pending | Jun 29, 2022 |
| 17733882 | SYSTEM AND METHOD FOR EFFECTIVE HYDROCARBON RESERVOIR PRESSURE PREDICTION AND CONTROL | HANN, JAY B | 2186 | §103 | Final Rejection | 5d overdue | Pending | Apr 29, 2022 |
| 17636281 | AN INTEGRATED GEOMECHANICS MODEL FOR PREDICTING HYDROCARBON AND MIGRATION PATHWAYS | HANN, JAY B | 2186 | §103 | Non-Final OA | 9d overdue | Pending | Feb 17, 2022 |
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