Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days
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 | 3 (60%) |
| §103 only | 2 (40%) |
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 |
|---|---|---|---|
| KNIGHT, LETORIA G | 2 | 28.2% | +49.3% |
| SITTNER, MATTHEW T | 1 | 57.7% | +56.1% |
| MURRAY, WAYNE SCOTT | 1 | 44.1% | +47.3% |
| YU, ARIEL J | 1 | 40.4% | +27.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18892084 | ADAPTIVELY ENHANCING PROCUREMENT DATA | KNIGHT, LETORIA G | — |
| 18390712 | INTENT-BASED ITEM RECOMMENDATIONS | MURRAY, WAYNE SCOTT | — |
| 17585191 | AUTOMATICALLY DISCOVERING DATA TRENDS USING ANONYMIZED DATA | KNIGHT, LETORIA G | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19174982 | INTELLIGENT, ADAPTIVE ELECTRONIC PROCUREMENT SYSTEMS | SITTNER, MATTHEW T | — |
| 18892084 | ADAPTIVELY ENHANCING PROCUREMENT DATA | KNIGHT, LETORIA G | — |
| 18390712 | INTENT-BASED ITEM RECOMMENDATIONS | MURRAY, WAYNE SCOTT | — |
| 18541488 | SYSTEMS AND METHODS FOR SYNTHETIC DATA ENTRY IN ONLINE REPORTS | YU, ARIEL J | — |
| 17585191 | AUTOMATICALLY DISCOVERING DATA TRENDS USING ANONYMIZED DATA | KNIGHT, LETORIA G | — |
| Art Unit | Apps |
|---|---|
| 3623 | 2 |
| 3629 | 1 |
| 3628 | 1 |
| 3627 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19174982 | INTELLIGENT, ADAPTIVE ELECTRONIC PROCUREMENT SYSTEMS | SITTNER, MATTHEW T | 3629 | §103 | Non-Final OA | — | Pending | Apr 10, 2025 |
| 18892084 | ADAPTIVELY ENHANCING PROCUREMENT DATA | KNIGHT, LETORIA G | 3623 | §101 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18390712 | INTENT-BASED ITEM RECOMMENDATIONS | MURRAY, WAYNE SCOTT | 3628 | §101 | Final Rejection | — | Pending | Dec 20, 2023 |
| 18541488 | SYSTEMS AND METHODS FOR SYNTHETIC DATA ENTRY IN ONLINE REPORTS | YU, ARIEL J | 3627 | §103 | Non-Final OA | — | Pending | Dec 15, 2023 |
| 17585191 | AUTOMATICALLY DISCOVERING DATA TRENDS USING ANONYMIZED DATA | KNIGHT, LETORIA G | 3623 | §101 | Final Rejection | — | Pending | Jan 26, 2022 |
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