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
Orbsurgical Ltd. currently manages 1 pending office action within the Transportation, E-Commerce & Mechanical Systems technology area. This matter is assigned to 1 distinct examiner, LE, LINH GIANG, who is reviewing the case within 1 distinct art unit. Because there is only 1 pending office action, LE, LINH GIANG is the busiest examiner with 1 pending case. This concentration means the company's entire current interaction with the office is dependent on the review of this specific examiner within the Transportation, E-Commerce & Mechanical Systems field.
The presence of 1 distinct art unit and 1 distinct examiner indicates a focused prosecution footprint. Practitioners representing the company navigate the specific preferences and procedural requirements of LE, LINH GIANG. With 1 pending office action total, the administrative burden is concentrated, and the outcome of this single matter represents the current status of the portfolio. The lack of additional pending office actions across other examiners or art units simplifies the management of the company's intellectual property 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 |
|---|---|
| §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 |
|---|---|---|---|
| LE, LINH GIANG | 1 | 66.2% | -4.6% |
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 |
|---|---|---|---|
| 19171078 | Machine Learning-Assisted Surgery | LE, LINH GIANG | — |
| Art Unit | Apps |
|---|---|
| 3683 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19171078 | Machine Learning-Assisted Surgery | LE, LINH GIANG | 3683 | §101DP | Non-Final OA | — | Pending | Apr 04, 2025 |
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