Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (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. 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 |
|---|---|
| §103 only | 2 (50%) |
| §112 only | 1 (25%) |
| No statute on record | 1 (25%) |
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 |
|---|---|---|---|
| MIKELS, MATTHEW | 1 | 80.8% | +20.4% |
| CHANNAVAJJALA, SRIRAMA T | 1 | 74.9% | +32.6% |
| ALLEN, LUCIUS CAMERON GREE | 1 | 69.2% | +41.4% |
| VARNDELL, ROSS E | 1 | 84.5% | +13.2% |
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 |
|---|---|---|---|
| 18484110 | RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS | VARNDELL, ROSS E | 16d 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 |
|---|---|---|---|
| 18484110 | RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS | VARNDELL, ROSS E | 16d overdue |
| 18434629 | EXTRACTION OF DOCUMENT CONTENT USING ATTRIBUTE IDENTIFICATION | ALLEN, LUCIUS CAMERON GREE | 8d overdue |
| 18914597 | EXTRACTING INFORMATION FROM DOCUMENTS USING AUTOMATIC MARKUP BASED ON HISTORICAL DATA | CHANNAVAJJALA, SRIRAMA T | 14d |
| 19321689 | DECODING OF TWO-DIMENSIONAL BARCODES UNDER UNFAVORABLE CONDITIONS | MIKELS, MATTHEW | 23d |
| Art Unit | Apps |
|---|---|
| 2876 | 1 |
| 2154 | 1 |
| 2673 | 1 |
| 2674 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19321689 | DECODING OF TWO-DIMENSIONAL BARCODES UNDER UNFAVORABLE CONDITIONS | MIKELS, MATTHEW | 2876 | Other | Non-Final OA | 23d | Pending | Sep 08, 2025 |
| 18914597 | EXTRACTING INFORMATION FROM DOCUMENTS USING AUTOMATIC MARKUP BASED ON HISTORICAL DATA | CHANNAVAJJALA, SRIRAMA T | 2154 | §103 | Non-Final OA | 14d | Pending | Oct 14, 2024 |
| 18434629 | EXTRACTION OF DOCUMENT CONTENT USING ATTRIBUTE IDENTIFICATION | ALLEN, LUCIUS CAMERON GREE | 2673 | §112 | Non-Final OA | 8d overdue | Pending | Feb 06, 2024 |
| 18484110 | RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS | VARNDELL, ROSS E | 2674 | §103 | Non-Final OA | 16d overdue | Pending | Oct 10, 2023 |
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