Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 2 (40%) |
| §101 + other | 2 (40%) |
| §103 only | 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 |
|---|---|---|---|
| CHANG, EDWARD | 1 | 63.3% | +32.1% |
| RAZA, ZEHRA | 1 | 45.7% | +48.5% |
| PRESTON, JOHN O | 1 | 28.3% | +7.2% |
| GREGG, MARY M | 1 | 14.0% | +14.1% |
| LONG, EDWARD X | 1 | 73.5% | +46.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17886587 | DETERMINISTIC CREDIT SYSTEM | GREGG, MARY M | 5d overdue |
| 18990062 | PRIORITY MATCHING FOR MAKER ORDERS EXHIBITING DELAYED CANCELATION | CHANG, EDWARD | — |
| 18982180 | FAIR CREDIT SCREENED MARKET DATA DISTRIBUTION | RAZA, ZEHRA | — |
| 18457524 | DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK | PRESTON, JOHN O | — |
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 |
|---|---|---|---|
| 17886587 | DETERMINISTIC CREDIT SYSTEM | GREGG, MARY M | 5d overdue |
| 18990062 | PRIORITY MATCHING FOR MAKER ORDERS EXHIBITING DELAYED CANCELATION | CHANG, EDWARD | — |
| 18982180 | FAIR CREDIT SCREENED MARKET DATA DISTRIBUTION | RAZA, ZEHRA | — |
| 17551348 | LARGE SCALE SURVEILLANCE OF DATA NETWORKS TO DETECT ALERT CONDITIONS | LONG, EDWARD X | — |
| Art Unit | Apps |
|---|---|
| 3696 | 1 |
| 3697 | 1 |
| 3693 | 1 |
| 3695 | 1 |
| 2439 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18990062 | PRIORITY MATCHING FOR MAKER ORDERS EXHIBITING DELAYED CANCELATION | CHANG, EDWARD | 3696 | §101 | Non-Final OA | — | Pending | Dec 20, 2024 |
| 18982180 | FAIR CREDIT SCREENED MARKET DATA DISTRIBUTION | RAZA, ZEHRA | 3697 | §101§103Other | Final Rejection | — | Pending | Dec 16, 2024 |
| 18457524 | DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK | PRESTON, JOHN O | 3693 | §101Other | Final Rejection | — | Pending | Aug 29, 2023 |
| 17886587 | DETERMINISTIC CREDIT SYSTEM | GREGG, MARY M | 3695 | §101§103 | Final Rejection | 5d overdue | Pending | Aug 12, 2022 |
| 17551348 | LARGE SCALE SURVEILLANCE OF DATA NETWORKS TO DETECT ALERT CONDITIONS | LONG, EDWARD X | 2439 | §103 | Final Rejection | — | Pending | Dec 15, 2021 |
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