Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (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. 3 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. 3 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 | 1 (33%) |
| No statute on record | 2 (67%) |
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 |
|---|---|---|---|
| KAUR, JASPREET | 1 | 83.3% | +30.0% |
| BEG, SAMAH A | 1 | 78.7% | +29.6% |
| ZEMAN, MARY K | 1 | 59.0% | +34.5% |
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 |
|---|---|---|---|
| 18711053 | MACHINE LEARNING TECHNIQUES FOR TERTIARY LYMPHOID STRUCTURE (TLS) DETECTION | KAUR, JASPREET | 27d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18416703 | TECHNIQUES FOR DETERMINING TISSUE CHARACTERISTICS USING MULTIPLEXED IMMUNOFLUORESCENCE IMAGING | BEG, SAMAH A | 9d |
| 17548444 | TECHNIQUES FOR IDENTIFYING FOLLICULAR LYMPHOMA TYPES | ZEMAN, MARY K | 22d |
| 18711053 | MACHINE LEARNING TECHNIQUES FOR TERTIARY LYMPHOID STRUCTURE (TLS) DETECTION | KAUR, JASPREET | 27d |
| Art Unit | Apps |
|---|---|
| 2662 | 1 |
| 2676 | 1 |
| 1686 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18711053 | MACHINE LEARNING TECHNIQUES FOR TERTIARY LYMPHOID STRUCTURE (TLS) DETECTION | KAUR, JASPREET | 2662 | §103 | Non-Final OA | 27d | Pending | May 16, 2024 |
| 18416703 | TECHNIQUES FOR DETERMINING TISSUE CHARACTERISTICS USING MULTIPLEXED IMMUNOFLUORESCENCE IMAGING | BEG, SAMAH A | 2676 | Other | Non-Final OA | 9d | Pending | Jan 18, 2024 |
| 17548444 | TECHNIQUES FOR IDENTIFYING FOLLICULAR LYMPHOMA TYPES | ZEMAN, MARY K | 1686 | Other | Non-Final OA | 22d | Pending | Dec 10, 2021 |
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