Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Deep Detection LLC is currently dealing with 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This prosecution involves 1 distinct examiner, Tan D Nguyen, showing a very specific point of engagement with the patent office. The presence of only 1 pending office action suggests a very limited volume of active patent work. The company's current efforts are concentrated on a single application within the transportation and mechanical systems field.
Tan D Nguyen is the busiest examiner, with 1 busiest examiner pending action. The portfolio is concentrated in 1 distinct art unit. The concentration in a single art unit suggests that the company's current intellectual property efforts are focused on a specific mechanical innovation. Because the total workload is limited to 1 distinct art unit, practitioners can focus their technical arguments on the specific standards of that unit. The fact that Tan D Nguyen handles the only 1 pending office action means that the relationship with this examiner is the primary factor in the company's current patent success.
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 (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 |
|---|---|---|---|
| NGUYEN, TAN D | 1 | 24.3% | +19.7% |
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 |
|---|---|---|---|
| 18195613 | ARTIFICIALLY INTELLIGENT EMERGENCY RESPONSE SYSTEM | NGUYEN, TAN D | — |
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 |
|---|---|---|---|
| 18195613 | ARTIFICIALLY INTELLIGENT EMERGENCY RESPONSE SYSTEM | NGUYEN, TAN D | — |
| Art Unit | Apps |
|---|---|
| 3600 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18195613 | ARTIFICIALLY INTELLIGENT EMERGENCY RESPONSE SYSTEM | NGUYEN, TAN D | 3600 | §101§103 | Final Rejection | — | Pending | May 10, 2023 |
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