Technology area: Biotechnology & Pharmaceuticals
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Oakland University has 1 pending office action in Biotechnology & Pharmaceuticals. The matter is handled by 1 examiner in 1 art unit, creating a single examination path.
LEVERETT, MARY CHANG is the busiest examiner, with 1 pending matter. Patent counsel can focus on one application record and prepare responses around the examiner’s specific treatment of the biotechnology claims.
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 |
|---|---|---|---|
| LEVERETT, MARY CHANG | 1 | 59.4% | +23.5% |
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 |
|---|---|---|---|
| 18480429 | MACHINE LEARNING BASED VOC DETECTION | LEVERETT, MARY CHANG | — |
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 |
|---|---|---|---|
| 18480429 | MACHINE LEARNING BASED VOC DETECTION | LEVERETT, MARY CHANG | — |
| Art Unit | Apps |
|---|---|
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18480429 | MACHINE LEARNING BASED VOC DETECTION | LEVERETT, MARY CHANG | 1687 | §101§112 | Non-Final OA | — | Pending | Oct 03, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialOakland University has 1 pending office actions as of October 2026, spread across 1 art units and 1 examiners.
Mary Chang Leverett has the most, with 1 of Oakland University's pending office actions.
Mostly Biotechnology & Pharmaceuticals (USPTO Tech Center 1600), based on where its pending office actions are examined.