Prosecution Insights
Prosecution Insights
5 pending office actions • 2 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (20%) |
| §101 + other | 2 (40%) |
| §112 only | 1 (20%) |
| Double-patenting only | 1 (20%) |
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 |
|---|---|---|---|
| CHANNAVAJJALA, SRIRAMA T | 1 | 74.4% | +32.9% |
| WILBURN, MOLLY K | 1 | 90.1% | +8.9% |
| MARIAM, DANIEL G | 1 | 90.5% | +10.4% |
| ACOSTA, RILEY SULLIVAN | 1 | — | — |
| MAHARAJ, DEVIKA S | 1 | 55.8% | +9.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18909625 | CONTINUOUS LEARNING FOR DOCUMENT PROCESSING AND ANALYSIS | WILBURN, MOLLY K | — |
| 18909599 | CONTINUOUS LEARNING FOR DOCUMENT PROCESSING AND ANALYSIS | MARIAM, DANIEL G | — |
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 |
|---|---|---|---|
| 18914597 | EXTRACTING INFORMATION FROM DOCUMENTS USING AUTOMATIC MARKUP BASED ON HISTORICAL DATA | CHANNAVAJJALA, SRIRAMA T | 14d |
| 18398742 | DETECTING RECURRING PATTERNS OF USER INTERFACE ACTIONS | ACOSTA, RILEY SULLIVAN | — |
| 18084140 | DOCUMENT PROCESSING WITH EFFICIENT TYPE-OF-SOURCE CLASSIFICATION | MAHARAJ, DEVIKA S | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18914597 | EXTRACTING INFORMATION FROM DOCUMENTS USING AUTOMATIC MARKUP BASED ON HISTORICAL DATA | CHANNAVAJJALA, SRIRAMA T | 14d |
| 18909599 | CONTINUOUS LEARNING FOR DOCUMENT PROCESSING AND ANALYSIS | MARIAM, DANIEL G | — |
| Art Unit | Apps |
|---|---|
| 2154 | 1 |
| 2123 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18914597 | EXTRACTING INFORMATION FROM DOCUMENTS USING AUTOMATIC MARKUP BASED ON HISTORICAL DATA | CHANNAVAJJALA, SRIRAMA T | 2154 | §101§103§112 | Non-Final OA | 14d | Pending | Oct 14, 2024 |
| 18909625 | CONTINUOUS LEARNING FOR DOCUMENT PROCESSING AND ANALYSIS | WILBURN, MOLLY K | — | §112Other | Non-Final OA | — | Pending | Oct 08, 2024 |
| 18909599 | CONTINUOUS LEARNING FOR DOCUMENT PROCESSING AND ANALYSIS | MARIAM, DANIEL G | — | DP | Non-Final OA | — | Pending | Oct 08, 2024 |
| 18398742 | DETECTING RECURRING PATTERNS OF USER INTERFACE ACTIONS | ACOSTA, RILEY SULLIVAN | — | §101§103 | Non-Final OA | — | Pending | Dec 28, 2023 |
| 18084140 | DOCUMENT PROCESSING WITH EFFICIENT TYPE-OF-SOURCE CLASSIFICATION | MAHARAJ, DEVIKA S | 2123 | §101 | Final Rejection | — | Pending | Dec 19, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial