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
Medlever Inc. has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. The prosecution is assigned to 1 distinct examiner and 1 distinct art unit. This suggests that the company's current intellectual property focus is on a specific mechanical or e-commerce innovation. By operating within 1 distinct art unit, the company is engaging with a specialized group of examiners who are experts in this particular technological field.
The busiest examiner for the portfolio is PATEL, SHERYL GOPAL, who is responsible for the 1 pending office action. This indicates that all current activity for the company is concentrated under this single examiner, with no other pending matters being reviewed by other USPTO staff. Since the busiest examiner is only managing 1 pending office action, the portfolio is currently in a low-volume state. This allows for a very direct and focused prosecution effort, though it also means the company's immediate patent prospects depend on this examiner's review.
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 |
|---|---|---|---|
| PATEL, SHERYL GOPAL | 1 | 10.7% | +14.4% |
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 |
|---|---|---|---|
| 18605424 | METHODS AND SYSTEMS FOR ALLOCATING MEDICAL RESOURCES USING AN ARTIFICIAL INTELLIGENCE ENGINE | PATEL, SHERYL GOPAL | — |
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 |
|---|---|---|---|
| 18605424 | METHODS AND SYSTEMS FOR ALLOCATING MEDICAL RESOURCES USING AN ARTIFICIAL INTELLIGENCE ENGINE | PATEL, SHERYL GOPAL | — |
| Art Unit | Apps |
|---|---|
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18605424 | METHODS AND SYSTEMS FOR ALLOCATING MEDICAL RESOURCES USING AN ARTIFICIAL INTELLIGENCE ENGINE | PATEL, SHERYL GOPAL | 3685 | §101§103 | Non-Final OA | — | Pending | Mar 14, 2024 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial