Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Sports Data Labs Inc. is currently navigating 4 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 4 actions are distributed among 4 distinct examiners, meaning each pending matter is being handled by a different individual. These examiners are located across 3 distinct art units, indicating some concentration of the company's filings within specific examination departments.
NGUYEN, TAI T is identified as the busiest examiner for this portfolio, with 1 busiest examiner pending action. Since there are 4 pending office actions, the workload is split such that each of the 4 distinct examiners is responsible for one action. This distribution ensures that no single examiner has a majority of the company's pending cases, though they are spread across 3 distinct art units.
The fact that the pending office actions involve 4 distinct examiners and 3 distinct art units suggests a diverse but somewhat overlapping prosecution environment. Practitioners must manage the individual preferences of the examiners while also considering the departmental standards of the 3 distinct art units. This structure requires a broad strategy to address the varied feedback across the Transportation, E-Commerce & Mechanical Systems sector.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 2 (50%) |
| §103 only | 2 (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 |
|---|---|---|---|
| NGUYEN, TAI T | 1 | 84.7% | +17.3% |
| POINT, RUFUS C | 1 | 74.2% | +18.0% |
| MACCAGNO, PIERRE L | 1 | 23.8% | +30.0% |
| WALTON, CHESIREE A | 1 | 31.0% | +29.0% |
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 |
|---|---|---|---|
| 18288554 | ANIMAL DATA-BASED IDENTIFICATION AND RECOGNITION SYSTEM AND METHOD | NGUYEN, TAI T | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17054277 | BIOLOGICAL DATA TRACKING SYSTEM AND METHOD | MACCAGNO, PIERRE L | — |
| 16977278 | ANIMAL DATA PREDICTION SYSTEM | WALTON, CHESIREE 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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18231345 | ANIMAL DATA COMPLIANCE SYSTEM AND METHOD | POINT, RUFUS C | 4d overdue |
| 18288554 | ANIMAL DATA-BASED IDENTIFICATION AND RECOGNITION SYSTEM AND METHOD | NGUYEN, TAI T | — |
| 17054277 | BIOLOGICAL DATA TRACKING SYSTEM AND METHOD | MACCAGNO, PIERRE L | — |
| 16977278 | ANIMAL DATA PREDICTION SYSTEM | WALTON, CHESIREE A | — |
| Art Unit | Apps |
|---|---|
| 3687 | 2 |
| 2689 | 1 |
| 3624 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18288554 | ANIMAL DATA-BASED IDENTIFICATION AND RECOGNITION SYSTEM AND METHOD | NGUYEN, TAI T | 3687 | §103 | Non-Final OA | — | Pending | Oct 26, 2023 |
| 18231345 | ANIMAL DATA COMPLIANCE SYSTEM AND METHOD | POINT, RUFUS C | 2689 | §103 | Non-Final OA | 4d overdue | Pending | Aug 08, 2023 |
| 17054277 | BIOLOGICAL DATA TRACKING SYSTEM AND METHOD | MACCAGNO, PIERRE L | 3687 | §101§103 | Final Rejection | — | Pending | Nov 10, 2020 |
| 16977278 | ANIMAL DATA PREDICTION SYSTEM | WALTON, CHESIREE A | 3624 | §101§103 | Non-Final OA | — | Pending | Sep 01, 2020 |
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