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 • 3 patents granted in the last 365 days
Wandercraft currently has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This active matter is assigned to 1 distinct examiner and 1 distinct art unit, indicating a concentrated prosecution effort. The focus on Transportation, E-Commerce & Mechanical Systems suggests a specific technical scope for the company's current patent activity.
The busiest examiner for the portfolio is TRAN, DALENA, who is handling the 1 pending office action. Having the busiest examiner pending count at 1 matches the total pending office actions for the company, showing that no other examiners are currently reviewing active cases. This 1 point of contact allows for a direct prosecution path through the patent office.
For practitioners, this data suggests that the outcome of the company's current patent efforts depends on the interaction with TRAN, DALENA. With 1 pending office action, the portfolio is in a state of minimal active expansion. The alignment of 1 distinct examiner and 1 distinct art unit simplifies the administrative task of tracking deadlines within the Transportation, E-Commerce & Mechanical Systems sector.
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 |
|---|---|
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| TRAN, DALENA | 1 | 87.7% | +9.8% |
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 |
|---|---|---|---|
| 18841021 | Methods for Training a Neural Network and for Using Said Neural Network to Stabilize a Bipedal Robot | TRAN, DALENA | — |
| Art Unit | Apps |
|---|---|
| 3657 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18841021 | Methods for Training a Neural Network and for Using Said Neural Network to Stabilize a Bipedal Robot | TRAN, DALENA | 3657 | §102§103§112 | Non-Final OA | — | Pending | Aug 23, 2024 |
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