Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 (25%) |
| §103 only | 3 (75%) |
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 |
|---|---|---|---|
| TOUGHIRY, ARYAN D | 1 | 67.5% | +19.5% |
| RIEGELMAN, MICHAEL A | 1 | 78.0% | +15.0% |
| ALLGOOD, ALESA M | 1 | 82.3% | +18.4% |
| AYALA, KEVIN ALEXIS | 1 | 64.1% | +29.2% |
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 |
|---|---|---|---|
| 18625816 | YAW CONTROL FAULT DETECTION SYSTEM | ALLGOOD, ALESA M | 61d |
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 |
|---|---|---|---|
| 18961606 | YAW-BEARING GREASE TRAY | RIEGELMAN, MICHAEL A | 100d 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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18961606 | YAW-BEARING GREASE TRAY | RIEGELMAN, MICHAEL A | 100d overdue |
| 19036646 | CACHING LARGE LANGUAGE MODEL (LLM) RESPONSES USING HYBRID RETRIEVAL AND RECIPROCAL RANK FUSION | TOUGHIRY, ARYAN D | 15d overdue |
| 16601088 | AUTHORIZING AND VALIDATING REMOVABLE STORAGE FOR USE WITH CRITICAL INFRASTRCTURE COMPUTING SYSTEMS | AYALA, KEVIN ALEXIS | 27d |
| 18625816 | YAW CONTROL FAULT DETECTION SYSTEM | ALLGOOD, ALESA M | 61d |
| Art Unit | Apps |
|---|---|
| 2165 | 1 |
| 3654 | 1 |
| 2858 | 1 |
| 2496 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19036646 | CACHING LARGE LANGUAGE MODEL (LLM) RESPONSES USING HYBRID RETRIEVAL AND RECIPROCAL RANK FUSION | TOUGHIRY, ARYAN D | 2165 | §103 | Non-Final OA | 15d overdue | Pending | Jan 24, 2025 |
| 18961606 | YAW-BEARING GREASE TRAY | RIEGELMAN, MICHAEL A | 3654 | §101 | Non-Final OA | 100d overdue | Pending | Nov 27, 2024 |
| 18625816 | YAW CONTROL FAULT DETECTION SYSTEM | ALLGOOD, ALESA M | 2858 | §103 | Final Rejection | 61d | Pending | Apr 03, 2024 |
| 16601088 | AUTHORIZING AND VALIDATING REMOVABLE STORAGE FOR USE WITH CRITICAL INFRASTRCTURE COMPUTING SYSTEMS | AYALA, KEVIN ALEXIS | 2496 | §103 | Non-Final OA | 27d | Pending | Oct 14, 2019 |
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