Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 10 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 | 4 (100%) |
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 |
|---|---|---|---|
| HAMILTON, MATTHEW L | 1 | 53.6% | +61.9% |
| HUQ, FARZANA B | 1 | 79.9% | +31.0% |
| HRANEK, KAREN AMANDA | 1 | 36.0% | +46.8% |
| LADONI, AHOORA | 1 | 6.7% | +11.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17967517 | SYSTEMS AND METHODS FOR USING BOUNDING BOX GEOSEARCHING TO IDENTIFY SERVICE PROVIDERS | LADONI, AHOORA | 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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18947650 | MACHINE LEARNING FRAMEWORK FOR DETECTION OF CHRONIC HEALTH CONDITIONS | HAMILTON, MATTHEW L | 32d overdue |
| 18130149 | SYSTEMS AND METHODS FOR USING TREATMENT EFFECT MODELS FOR CARE MANAGEMENT INTERVENTIONS | HRANEK, KAREN AMANDA | 8d overdue |
| 17967517 | SYSTEMS AND METHODS FOR USING BOUNDING BOX GEOSEARCHING TO IDENTIFY SERVICE PROVIDERS | LADONI, AHOORA | 27d |
| 18612788 | SYSTEMS AND METHODS FOR IDENTIFYING TRAFFIC DIRECTION IN NETWORK TRAFFIC LOGS | HUQ, FARZANA B | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 2455 | 1 |
| 3684 | 1 |
| 3689 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18947650 | MACHINE LEARNING FRAMEWORK FOR DETECTION OF CHRONIC HEALTH CONDITIONS | HAMILTON, MATTHEW L | 3682 | §103 | Non-Final OA | 32d overdue | Pending | Nov 14, 2024 |
| 18612788 | SYSTEMS AND METHODS FOR IDENTIFYING TRAFFIC DIRECTION IN NETWORK TRAFFIC LOGS | HUQ, FARZANA B | 2455 | §103 | Non-Final OA | — | Pending | Mar 21, 2024 |
| 18130149 | SYSTEMS AND METHODS FOR USING TREATMENT EFFECT MODELS FOR CARE MANAGEMENT INTERVENTIONS | HRANEK, KAREN AMANDA | 3684 | §103 | Non-Final OA | 8d overdue | Pending | Apr 03, 2023 |
| 17967517 | SYSTEMS AND METHODS FOR USING BOUNDING BOX GEOSEARCHING TO IDENTIFY SERVICE PROVIDERS | LADONI, AHOORA | 3689 | §103 | Final Rejection | 27d | Pending | Oct 17, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial