Prosecution Insights
Prosecution Insights
1 pending office actions • 0 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Lunair Medical has 1 pending office action currently under review. This action is assigned to 1 distinct examiner, LEE, BRYAN MCALLISTER. The data shows 0 distinct art units for this portfolio. This lack of art unit assignment indicates the action is not yet linked to a specific technical division.
LEE, BRYAN MCALLISTER is the busiest examiner with 1 pending office action. This single action constitutes the entirety of the company's current pending workload at the office. With only one examiner involved, the prosecution is concentrated on a single point of contact. This allows the applicant to focus resources on one specific set of examiner requirements to advance the application.
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 |
|---|---|
| §102 only | 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 |
|---|---|---|---|
| LEE, BRYAN MCALLISTER | 1 | 93.1% | +9.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19041548 | SYSTEMS AND METHODS USING MACHINE LEARNING FOR PHRENIC NERVE MONITORING AND MODULATION | LEE, BRYAN MCALLISTER | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19041548 | SYSTEMS AND METHODS USING MACHINE LEARNING FOR PHRENIC NERVE MONITORING AND MODULATION | LEE, BRYAN MCALLISTER | — | §102 | Non-Final OA | — | Pending | Jan 30, 2025 |
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