Prosecution Insights
Prosecution Insights
10 pending office actions • 9 art units • 9 examiners • 0 of 10 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 10 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. 10 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 | 4 (40%) |
| §103 only | 5 (50%) |
| §102 only | 1 (10%) |
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 |
|---|---|---|---|
| SUBRAMANIAN, NARAYANSWAMY | 2 | 28.7% | +31.0% |
| SAXENA, AKASH | 1 | 48.9% | +31.4% |
| ARAQUE JR, GERARDO | 1 | 9.6% | +15.9% |
| BRIDGES, CHRISTOPHER | 1 | 44.7% | +11.0% |
| MANDEL, MONICA A | 1 | 18.2% | +8.9% |
| PULLIAS, JESSE SCOTT | 1 | 83.0% | +12.7% |
| SHAIKH, MOHAMMAD Z | 1 | 52.5% | +31.1% |
| BEZUAYEHU, SOLOMON G | 1 | 75.3% | +30.3% |
| MIRABITO, MICHAEL PAUL | 1 | 34.3% | +0.0% |
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 |
|---|---|---|---|
| 18808819 | FACILITATING SUB-GROUP HOPPING IN CALL SESSIONS FOR ADAPTIVE CONTENT FLOWS | PULLIAS, JESSE SCOTT | 4d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 45d overdue |
| 17500726 | PREDICTIVE FRAUD DETECTION SYSTEM | SUBRAMANIAN, NARAYANSWAMY | 28d overdue |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 6d |
| 18809209 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | BRIDGES, CHRISTOPHER | 53d |
| 18809025 | FACILITATING DIGITAL REQUESTS THROUGH AN ADAPTIVE CONTENT FLOW INTERFACE | MANDEL, MONICA A | 71d |
| 18809029 | INTELLIGENT SEARCH FEATURE FOR AN ADAPTIVE ASSISTANCE INTERFACE | SHAIKH, MOHAMMAD Z | 84d |
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 |
|---|---|---|---|
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 45d overdue |
| 17500726 | PREDICTIVE FRAUD DETECTION SYSTEM | SUBRAMANIAN, NARAYANSWAMY | 28d overdue |
| 18808810 | DYNAMIC CONTENT FLOW ADAPTATION FOR CALL REPRESENTATIVES | BEZUAYEHU, SOLOMON G | 5d overdue |
| 18808819 | FACILITATING SUB-GROUP HOPPING IN CALL SESSIONS FOR ADAPTIVE CONTENT FLOWS | PULLIAS, JESSE SCOTT | 4d overdue |
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 6d |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 6d |
| 18809209 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | BRIDGES, CHRISTOPHER | 53d |
| 18809029 | INTELLIGENT SEARCH FEATURE FOR AN ADAPTIVE ASSISTANCE INTERFACE | SHAIKH, MOHAMMAD Z | 84d |
| Art Unit | Apps |
|---|---|
| 3691 | 2 |
| 2188 | 1 |
| 3629 | 1 |
| 3693 | 1 |
| 3622 | 1 |
| 2655 | 1 |
| 3694 | 1 |
| 2674 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 2188 | §103 | Non-Final OA | 6d | Pending | Apr 25, 2025 |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 3629 | §102 | Non-Final OA | 6d | Pending | Apr 24, 2025 |
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 3691 | §101 | Final Rejection | 45d overdue | Pending | Aug 23, 2024 |
| 18809209 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | BRIDGES, CHRISTOPHER | 3693 | §101 | Final Rejection | 53d | Pending | Aug 19, 2024 |
| 18809025 | FACILITATING DIGITAL REQUESTS THROUGH AN ADAPTIVE CONTENT FLOW INTERFACE | MANDEL, MONICA A | 3622 | §103 | Non-Final OA | 71d | Pending | Aug 19, 2024 |
| 18808819 | FACILITATING SUB-GROUP HOPPING IN CALL SESSIONS FOR ADAPTIVE CONTENT FLOWS | PULLIAS, JESSE SCOTT | 2655 | §103 | Non-Final OA | 4d overdue | Pending | Aug 19, 2024 |
| 18809029 | INTELLIGENT SEARCH FEATURE FOR AN ADAPTIVE ASSISTANCE INTERFACE | SHAIKH, MOHAMMAD Z | 3694 | §101 | Final Rejection | 84d | Pending | Aug 19, 2024 |
| 18808810 | DYNAMIC CONTENT FLOW ADAPTATION FOR CALL REPRESENTATIVES | BEZUAYEHU, SOLOMON G | 2674 | §103 | Non-Final OA | 5d overdue | Pending | Aug 19, 2024 |
| 17500767 | AUTOMATED INCIDENT SIMULATION GENERATOR | MIRABITO, MICHAEL PAUL | 2187 | §103 | Final Rejection | 42d | Pending | Oct 13, 2021 |
| 17500726 | PREDICTIVE FRAUD DETECTION SYSTEM | SUBRAMANIAN, NARAYANSWAMY | 3691 | §101 | Final Rejection | 28d overdue | Pending | Oct 13, 2021 |
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