Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Nationstar Mortgage LLC D/B/A/ Mr Cooper has 1 pending office action in the Communications technology area. This action is assigned to 1 distinct examiner, BITAR, NANCY, within 1 distinct art unit. BITAR, NANCY is the busiest examiner for the company with 1 pending office action. This 1 action represents the entirety of the company's current pending workload. The 1 distinct art unit indicates a specific technical focus for 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 |
|---|---|
| §101 only | 1 (50%) |
| Double-patenting only | 1 (50%) |
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 |
|---|---|---|---|
| MINCEY, JERMAINE A | 1 | 56.9% | +41.3% |
| MARIAM, DANIEL G | 1 | 90.6% | +10.4% |
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 |
|---|---|---|---|
| 19059816 | SYSTEMS AND METHODS FOR STAMP DETECTION AND CLASSIFICATION | MARIAM, DANIEL G | — |
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 |
|---|---|---|---|
| 19242968 | Systems and Methods for Machine Learning-Based Data Extraction | MINCEY, JERMAINE A | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19242968 | Systems and Methods for Machine Learning-Based Data Extraction | MINCEY, JERMAINE A | — |
| 19059816 | SYSTEMS AND METHODS FOR STAMP DETECTION AND CLASSIFICATION | MARIAM, DANIEL G | — |
| Art Unit | Apps |
|---|---|
| 2159 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19242968 | Systems and Methods for Machine Learning-Based Data Extraction | MINCEY, JERMAINE A | 2159 | §101 | Non-Final OA | — | Pending | Jun 18, 2025 |
| 19059816 | SYSTEMS AND METHODS FOR STAMP DETECTION AND CLASSIFICATION | MARIAM, DANIEL G | — | DP | Non-Final OA | — | Pending | Feb 21, 2025 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial