Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
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 + other | 1 (33%) |
| §103 only | 1 (33%) |
| §102 only | 1 (33%) |
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 |
|---|---|---|---|
| COUSO, JOSE L | 1 | 90.2% | +8.3% |
| GRUSZKA, DANIEL PATRICK | 1 | 33.3% | +100.0% |
| ENG, GEORGE | 1 | 40.0% | +18.6% |
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 |
|---|---|---|---|
| 18934527 | METHOD AND SYSTEM FOR CLASSIFYING HISTORIC DATA DERIVED FROM NEURAL NETWORKS | COUSO, JOSE L | — |
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 |
|---|---|---|---|
| 18210094 | METHOD AND SYSTEM FOR DETERMINING EVENT OCCURRENCE BASED ON DATA SIGNALS | GRUSZKA, DANIEL PATRICK | — |
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 |
|---|---|---|---|
| 18210094 | METHOD AND SYSTEM FOR DETERMINING EVENT OCCURRENCE BASED ON DATA SIGNALS | GRUSZKA, DANIEL PATRICK | — |
| 18198317 | METHOD AND SYSTEM FOR PROVIDING IMMERSIVE AND INTERACTIVE FITNESS EXPERIENCE TO A USER | ENG, GEORGE | — |
| Art Unit | Apps |
|---|---|
| 2121 | 1 |
| 2699 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18934527 | METHOD AND SYSTEM FOR CLASSIFYING HISTORIC DATA DERIVED FROM NEURAL NETWORKS | COUSO, JOSE L | — | §102 | Non-Final OA | — | Pending | Nov 01, 2024 |
| 18210094 | METHOD AND SYSTEM FOR DETERMINING EVENT OCCURRENCE BASED ON DATA SIGNALS | GRUSZKA, DANIEL PATRICK | 2121 | §101§103 | Final Rejection | — | Pending | Jun 15, 2023 |
| 18198317 | METHOD AND SYSTEM FOR PROVIDING IMMERSIVE AND INTERACTIVE FITNESS EXPERIENCE TO A USER | ENG, GEORGE | 2699 | §103 | Final Rejection | — | Pending | May 17, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial