Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Network Optix Inc. has 1 pending office action in the Computing & Software technology area. This action is distributed to 1 distinct examiner and 1 distinct art unit. Having 1 pending office action suggests a focused approach to its current intellectual property development in the software space.
DARWISH, AMIR ELSAYED is the busiest examiner with 1 busiest examiner pending action. Since the total pending office actions is 1, this examiner handles the entire current workload. This concentration allows for a targeted prosecution strategy focused on this examiner's history within the computing sector and the 1 distinct art unit. Practitioners can dedicate their resources to addressing the requirements of this examiner to advance the pending application.
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 |
|---|---|
| §103 only | 1 (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 |
|---|---|---|---|
| DARWISH, AMIR ELSAYED | 1 | 50.0% | +75.0% |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18702517 | DEPLOYMENT OF MACHINE LEARNED MODELS TO PLURALITY OF DEVICES | DARWISH, AMIR ELSAYED | 28d overdue |
| Art Unit | Apps |
|---|---|
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18702517 | DEPLOYMENT OF MACHINE LEARNED MODELS TO PLURALITY OF DEVICES | DARWISH, AMIR ELSAYED | 2187 | §103 | Final Rejection | 28d overdue | Pending | Apr 18, 2024 |
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