Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 18 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 |
|---|---|
| §101 only | 1 (20%) |
| §103 only | 3 (60%) |
| No statute on record | 1 (20%) |
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 |
|---|---|---|---|
| LEROUX, ETIENNE PIERRE | 1 | 88.4% | +5.4% |
| ELIAS, EARL L | 1 | 57.8% | +21.1% |
| JONES, COURTNEY PATRICE | 1 | 67.9% | +22.9% |
| PROIOS, GEORGE N | 1 | 55.0% | +36.1% |
| HASBROUCK, MERRITT J | 1 | 10.5% | +8.0% |
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 |
|---|---|---|---|
| 19067566 | SELF-HEALING GENERATIVE AI/ML PIPELINE FOR GENERATING COMPLEX DATA QUERIES LEVERAGING SEMANTIC DATA MODEL | LEROUX, ETIENNE PIERRE | 78d |
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 |
|---|---|---|---|
| 18217330 | ACCOUNT STRUCTURE WITH INTERACTIONS TRIGGERED BY DETECTED CHANGES IN THE ACCOUNTS | HASBROUCK, MERRITT J | 87d overdue |
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 |
|---|---|---|---|
| 18492424 | DIGITAL ASSETS PLATFORM | PROIOS, GEORGE N | 53d overdue |
| 18620064 | BACKWARD COMPATIBLE AND SCALABLE HETEROGENEOUS DATABASE SYSTEM | ELIAS, EARL L | 8d overdue |
| 18492477 | DIGITAL ASSETS PLATFORM | JONES, COURTNEY PATRICE | 16d |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2169 | 1 |
| 3699 | 1 |
| 3694 | 1 |
| 3695 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19067566 | SELF-HEALING GENERATIVE AI/ML PIPELINE FOR GENERATING COMPLEX DATA QUERIES LEVERAGING SEMANTIC DATA MODEL | LEROUX, ETIENNE PIERRE | 2161 | §103 | Non-Final OA | 78d | Pending | Feb 28, 2025 |
| 18620064 | BACKWARD COMPATIBLE AND SCALABLE HETEROGENEOUS DATABASE SYSTEM | ELIAS, EARL L | 2169 | §103 | Non-Final OA | 8d overdue | Pending | Mar 28, 2024 |
| 18492477 | DIGITAL ASSETS PLATFORM | JONES, COURTNEY PATRICE | 3699 | §103 | Non-Final OA | 16d | Pending | Oct 23, 2023 |
| 18492424 | DIGITAL ASSETS PLATFORM | PROIOS, GEORGE N | 3694 | — | Non-Final OA | 53d overdue | Pending | Oct 23, 2023 |
| 18217330 | ACCOUNT STRUCTURE WITH INTERACTIONS TRIGGERED BY DETECTED CHANGES IN THE ACCOUNTS | HASBROUCK, MERRITT J | 3695 | §101 | Final Rejection | 87d overdue | Pending | Jun 30, 2023 |
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