Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
Citigroup Technology Inc. currently manages 2 pending office actions within the Networking & Security technology area. This portfolio is distributed across 2 distinct examiners and 2 distinct art units, indicating a spread of examination despite the volume of active matters. The workload is split among the assigned staff, as the busiest examiner, WOLDEMARIAM, NEGA, is responsible for 1 pending office action.
The presence of 2 distinct art units suggests that the company's networking and security innovations touch upon different regulatory classifications or technical sub-specialties. Because there are 2 distinct examiners for 2 pending office actions, the prosecution strategy does not currently show concentration under an individual examiner. Practitioners should note that WOLDEMARIAM, NEGA handles 1 of these matters, which represents the workload of the busiest examiner. Navigating 2 distinct art units for 2 pending office actions requires attention to the specific procedural nuances of each administrative group.
Based on the USPTO statutory response window for each pending office action. 2 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 |
|---|---|
| §101 only | 1 (50%) |
| §103 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 |
|---|---|---|---|
| WOLDEMARIAM, NEGA | 1 | 75.9% | +17.8% |
| HAIDER, FAWAAD | 1 | 50.2% | +25.3% |
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 |
|---|---|---|---|
| 18240057 | MACHINE LEARNING ANALYSIS OF USER INTERACTIONS | HAIDER, FAWAAD | 30d |
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 |
|---|---|---|---|
| 18794505 | VALIDATION OF ELECTRONIC DOCUMENT USING DISTRIBUTED LEDGERS | WOLDEMARIAM, NEGA | 27d |
| 18240057 | MACHINE LEARNING ANALYSIS OF USER INTERACTIONS | HAIDER, FAWAAD | 30d |
| Art Unit | Apps |
|---|---|
| 2407 | 1 |
| 3627 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18794505 | VALIDATION OF ELECTRONIC DOCUMENT USING DISTRIBUTED LEDGERS | WOLDEMARIAM, NEGA | 2407 | §103Other | Final Rejection | 27d | Pending | Aug 05, 2024 |
| 18240057 | MACHINE LEARNING ANALYSIS OF USER INTERACTIONS | HAIDER, FAWAAD | 3627 | §101 | Non-Final OA | 30d | Pending | Aug 30, 2023 |
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