Prosecution Insights
Prosecution Insights
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 7 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. 7 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 (14%) |
| §101 + other | 4 (57%) |
| Multi-statute (no §101) | 2 (29%) |
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 |
|---|---|---|---|
| ISLAM, MOHAMMAD K | 1 | 82.9% | +16.9% |
| BOGGS JR., JAMES | 1 | 63.0% | +34.0% |
| LOTTICH, JOSHUA P | 1 | 90.6% | +4.1% |
| CARVALHO, ERROL A | 1 | 15.3% | +18.4% |
| SHALU, ZELALEM W | 1 | 31.0% | +20.0% |
| WONG, WILLIAM | 1 | 30.4% | +27.3% |
| BEAN, GRIFFIN TANNER | 1 | 27.6% | +15.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18734127 | FLEXIBLE ARTIFICIAL INTELLIGENCE BASED SYSTEM WITH PROMPT ENHANCEMENT | ISLAM, MOHAMMAD K | 71d overdue |
| 17232593 | Removing Bias from Artificial Intelligence Models | CARVALHO, ERROL A | 66d overdue |
| 18606523 | ENTERPRISE-SPECIFIC CONTEXT-AWARE AUGMENTED ANALYTICS | BOGGS JR., JAMES | 25d overdue |
| 17232667 | Impact Score Based Target Action Assignment | SHALU, ZELALEM W | 3d overdue |
| 16576449 | Using Routing Rules to Generate Custom Models For Deployment as a Set | WONG, WILLIAM | 13d |
| 18390056 | INTERFACE FOR VISUALIZING AND IMPROVING MODEL PERFORMANCE | LOTTICH, JOSHUA P | 21d |
| 16512647 | Analyzing Performance of Models Trained with Varying Constraints | BEAN, GRIFFIN TANNER | 54d |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18734127 | FLEXIBLE ARTIFICIAL INTELLIGENCE BASED SYSTEM WITH PROMPT ENHANCEMENT | ISLAM, MOHAMMAD K | 71d overdue |
| 17232593 | Removing Bias from Artificial Intelligence Models | CARVALHO, ERROL A | 66d overdue |
| 18606523 | ENTERPRISE-SPECIFIC CONTEXT-AWARE AUGMENTED ANALYTICS | BOGGS JR., JAMES | 25d overdue |
| 17232667 | Impact Score Based Target Action Assignment | SHALU, ZELALEM W | 3d overdue |
| 16576449 | Using Routing Rules to Generate Custom Models For Deployment as a Set | WONG, WILLIAM | 13d |
| 16512647 | Analyzing Performance of Models Trained with Varying Constraints | BEAN, GRIFFIN TANNER | 54d |
| Art Unit | Apps |
|---|---|
| 2653 | 1 |
| 2657 | 1 |
| 2113 | 1 |
| 3622 | 1 |
| 2145 | 1 |
| 2144 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18734127 | FLEXIBLE ARTIFICIAL INTELLIGENCE BASED SYSTEM WITH PROMPT ENHANCEMENT | ISLAM, MOHAMMAD K | 2653 | §101§102§103§112 | Final Rejection | 71d overdue | Pending | Jun 05, 2024 |
| 18606523 | ENTERPRISE-SPECIFIC CONTEXT-AWARE AUGMENTED ANALYTICS | BOGGS JR., JAMES | 2657 | §102§103 | Non-Final OA | 25d overdue | Pending | Mar 15, 2024 |
| 18390056 | INTERFACE FOR VISUALIZING AND IMPROVING MODEL PERFORMANCE | LOTTICH, JOSHUA P | 2113 | §101 | Non-Final OA | 21d | Pending | Dec 20, 2023 |
| 17232593 | Removing Bias from Artificial Intelligence Models | CARVALHO, ERROL A | 3622 | §101§112 | Final Rejection | 66d overdue | Pending | Apr 16, 2021 |
| 17232667 | Impact Score Based Target Action Assignment | SHALU, ZELALEM W | 2145 | §101§103 | Non-Final OA | 3d overdue | Pending | Apr 16, 2021 |
| 16576449 | Using Routing Rules to Generate Custom Models For Deployment as a Set | WONG, WILLIAM | 2144 | §103§112 | Non-Final OA | 13d | Pending | Sep 19, 2019 |
| 16512647 | Analyzing Performance of Models Trained with Varying Constraints | BEAN, GRIFFIN TANNER | 2121 | §101§103 | Final Rejection | 54d | Pending | Jul 16, 2019 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial