Technology area: Communications
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Matroid Inc. has 1 pending office action within the Communications technology area. This matter is being handled by 1 distinct examiner, SAMAH A BEG, who is also the busiest examiner with 1 pending action. The prosecution is localized within 1 distinct art unit, reflecting a focus for the current pending workload in the Communications technology area. This concentration allows for a focus on the preferences of the 1 distinct examiner involved in the matter.
The presence of 1 pending office action under SAMAH A BEG indicates a centralized prosecution environment for the company. With 1 distinct examiner and 1 distinct art unit to navigate, the practitioner can tailor the response to the specific examination style of the individual assigned. This focus in the Communications technology area suggests that the current legal strategy is contained within a narrow technical and procedural scope. The outcome of this matter will define the company's current success in this technology area.
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 |
|---|---|---|---|
| BEG, SAMAH A | 1 | 78.2% | +31.4% |
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 |
|---|---|---|---|
| 18827490 | Machine-Learning Models for Integrated Video Capture and Annotation System | BEG, SAMAH A | — |
| Art Unit | Apps |
|---|---|
| 2676 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18827490 | Machine-Learning Models for Integrated Video Capture and Annotation System | BEG, SAMAH A | 2676 | §103 | Non-Final OA | — | Pending | Sep 06, 2024 |
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