Prosecution Insights
Prosecution Insights
2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Leptude Inc. maintains 2 pending office actions within its current patent portfolio. These actions are being reviewed by 2 distinct examiners, indicating that each pending matter is under the supervision of a different official. The busiest examiner for the company is DAILEY, THOMAS J, who has 1 pending office action.
The data shows that 2 distinct examiners are managing the 2 pending office actions, creating a decentralized prosecution profile. DAILEY, THOMAS J is responsible for 1 busiest examiner pending action. This structure ensures that the company's legal progress is not reliant on a single examiner's throughput for its total pending workload.
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 (50%) |
| §112 only | 1 (50%) |
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 |
|---|---|---|---|
| DAILEY, THOMAS J | 1 | 81.0% | +14.9% |
| LE, THANH T | 1 | 83.0% | +32.8% |
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 |
|---|---|---|---|
| 19075779 | ENHANCED ENCRYPTED TRAFFIC ANALYSIS VIA INTEGRATED ENTROPY ESTIMATION AND NEURAL NETWORK-BASED FEATURE HYBRIDIZATION | LE, THANH T | — |
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 |
|---|---|---|---|
| 19088981 | ADAPTIVE MANAGEMENT SYSTEM FOR IOT NETWORKS UTILIZING DYNAMIC FUZZY LOGIC FRAMEWORK | DAILEY, THOMAS J | — |
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 |
|---|---|---|---|
| 19088981 | ADAPTIVE MANAGEMENT SYSTEM FOR IOT NETWORKS UTILIZING DYNAMIC FUZZY LOGIC FRAMEWORK | DAILEY, THOMAS J | — |
| 19075779 | ENHANCED ENCRYPTED TRAFFIC ANALYSIS VIA INTEGRATED ENTROPY ESTIMATION AND NEURAL NETWORK-BASED FEATURE HYBRIDIZATION | LE, THANH T | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19088981 | ADAPTIVE MANAGEMENT SYSTEM FOR IOT NETWORKS UTILIZING DYNAMIC FUZZY LOGIC FRAMEWORK | DAILEY, THOMAS J | — | §101§103§112 | Non-Final OA | — | Pending | Mar 24, 2025 |
| 19075779 | ENHANCED ENCRYPTED TRAFFIC ANALYSIS VIA INTEGRATED ENTROPY ESTIMATION AND NEURAL NETWORK-BASED FEATURE HYBRIDIZATION | LE, THANH T | — | §112 | Non-Final OA | — | Pending | Mar 10, 2025 |
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