Prosecution Insights
Prosecution Insights
9 pending office actions • 9 art units • 9 examiners • 0 of 9 (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. 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 | 2 (22%) |
| §103 only | 5 (56%) |
| §102 only | 1 (11%) |
| §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 |
|---|---|---|---|
| CALDERON SANTIAGO, ALVARO RAFAEL | 1 | 40.9% | +35.6% |
| AHSAN, SYED M | 1 | 73.2% | +18.8% |
| PHILLIPS, III, ALBERT M | 1 | 81.3% | +12.7% |
| AHMED, SYED RAYHAN | 1 | 77.8% | +40.0% |
| MONAGHAN, MICHAEL J | 1 | 36.2% | +56.8% |
| STARKS, WILBERT L | 1 | 75.5% | +4.1% |
| DISTEFANO, GREGORY A | 1 | 69.2% | +22.7% |
| STORK, KYLE R | 1 | 63.9% | +28.1% |
| KWON, JUN | 1 | 39.4% | +47.0% |
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 |
|---|---|---|---|
| 17891976 | ALERT REVIEW USING MACHINE LEARNING AND INTERACTIVE VISUALIZATIONS | PHILLIPS, III, ALBERT M | 5d |
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 |
|---|---|---|---|
| 17553265 | GRAPH TRAVERSAL FOR MEASUREMENT OF FRAUDULENT NODES | MONAGHAN, MICHAEL J | 1d overdue |
| 17500310 | MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS | STARKS, WILBERT L | 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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18522773 | METHOD FOR GENERATING TEXTUAL DESCRIPTIONS FOR A DATA CHART AND ENHANCING NAVIGABILITY ON GRAPHICAL INTERFACES | CALDERON SANTIAGO, ALVARO RAFAEL | 86d overdue |
| 17867311 | SURROGATE HIERARCHICAL MACHINE-LEARNING MODEL TO PROVIDE CONCEPT EXPLANATIONS FOR A MACHINE-LEARNING CLASSIFIER | AHMED, SYED RAYHAN | 78d overdue |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | KWON, JUN | 5d overdue |
| 17553265 | GRAPH TRAVERSAL FOR MEASUREMENT OF FRAUDULENT NODES | MONAGHAN, MICHAEL J | 1d overdue |
| 17891976 | ALERT REVIEW USING MACHINE LEARNING AND INTERACTIVE VISUALIZATIONS | PHILLIPS, III, ALBERT M | 5d |
| 18345626 | METHOD AND SYSTEM FOR SECURING AN ONLINE CLIENT-SERVER SESSION BETWEEN A CLIENT DEVICE AND A SERVER DEVICE BY APPLICATION OF AT LEAST A COUNTERMEASURE | AHSAN, SYED M | 20d |
| 17473153 | DISCRIMINATIVE MACHINE LEARNING SYSTEM FOR OPTIMIZATION OF MULTIPLE OBJECTIVES | DISTEFANO, GREGORY A | 70d |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | STORK, KYLE R | 70d |
| Art Unit | Apps |
|---|---|
| 2171 | 1 |
| 2491 | 1 |
| 2159 | 1 |
| 2126 | 1 |
| 3629 | 1 |
| 2122 | 1 |
| 2174 | 1 |
| 2128 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18522773 | METHOD FOR GENERATING TEXTUAL DESCRIPTIONS FOR A DATA CHART AND ENHANCING NAVIGABILITY ON GRAPHICAL INTERFACES | CALDERON SANTIAGO, ALVARO RAFAEL | 2171 | §103 | Non-Final OA | 86d overdue | Pending | Nov 29, 2023 |
| 18345626 | METHOD AND SYSTEM FOR SECURING AN ONLINE CLIENT-SERVER SESSION BETWEEN A CLIENT DEVICE AND A SERVER DEVICE BY APPLICATION OF AT LEAST A COUNTERMEASURE | AHSAN, SYED M | 2491 | §102 | Non-Final OA | 20d | Pending | Jun 30, 2023 |
| 17891976 | ALERT REVIEW USING MACHINE LEARNING AND INTERACTIVE VISUALIZATIONS | PHILLIPS, III, ALBERT M | 2159 | §112 | Final Rejection | 5d | Pending | Aug 19, 2022 |
| 17867311 | SURROGATE HIERARCHICAL MACHINE-LEARNING MODEL TO PROVIDE CONCEPT EXPLANATIONS FOR A MACHINE-LEARNING CLASSIFIER | AHMED, SYED RAYHAN | 2126 | §103 | Non-Final OA | 78d overdue | Pending | Jul 18, 2022 |
| 17553265 | GRAPH TRAVERSAL FOR MEASUREMENT OF FRAUDULENT NODES | MONAGHAN, MICHAEL J | 3629 | §101 | Final Rejection | 1d overdue | Pending | Dec 16, 2021 |
| 17500310 | MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS | STARKS, WILBERT L | 2122 | §101 | Final Rejection | 34d | Pending | Oct 13, 2021 |
| 17473153 | DISCRIMINATIVE MACHINE LEARNING SYSTEM FOR OPTIMIZATION OF MULTIPLE OBJECTIVES | DISTEFANO, GREGORY A | 2174 | §103 | Final Rejection | 70d | Pending | Sep 13, 2021 |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | STORK, KYLE R | 2128 | §103 | Non-Final OA | 70d | Pending | May 26, 2021 |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | KWON, JUN | 2127 | §103 | Non-Final OA | 5d overdue | Pending | Oct 29, 2019 |
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