Technology areas: Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Tellspec Ltd. manages a company patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently has 2 pending office actions. These actions are distributed across 2 distinct examiners and 2 distinct art units. The busiest examiner for Tellspec Ltd. is FURTADO, WINSTON RAHUL, who is responsible for 1 busiest examiner pending office action.
For a practitioner, this distribution across 2 distinct art units suggests that the Transportation, E-Commerce & Mechanical Systems technologies being patented may span different sub-specialties. The workload is not concentrated in a single office, as the 2 pending office actions are split among 2 distinct examiners. This structure requires managing multiple examiner relationships simultaneously. The diversity in examiners and art units provides a broader base for the company's current prosecution efforts. Practitioners must coordinate strategies across the 2 distinct art units to maintain consistency in the portfolio. The presence of 2 distinct examiners suggests a decentralized review process.
Based on the USPTO statutory response window for each pending office action. 2 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 only | 2 (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 |
|---|---|---|---|
| FURTADO, WINSTON RAHUL | 1 | 19.4% | +23.4% |
| LEE, PAUL D | 1 | 82.9% | +15.0% |
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 |
|---|---|---|---|
| 17734027 | SYSTEMS AND METHODS FOR OPTIMAL PERSONALIZED INFANT NUTRITION, DISEASE PREVENTION, AND GROWTH MONITORING | FURTADO, WINSTON RAHUL | 77d overdue |
| 17341008 | SPECTRAL ANALYSIS VISUALIZATION SYSTEM AND METHOD | LEE, PAUL D | 23d overdue |
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 |
|---|---|---|---|
| 17734027 | SYSTEMS AND METHODS FOR OPTIMAL PERSONALIZED INFANT NUTRITION, DISEASE PREVENTION, AND GROWTH MONITORING | FURTADO, WINSTON RAHUL | 77d overdue |
| 17341008 | SPECTRAL ANALYSIS VISUALIZATION SYSTEM AND METHOD | LEE, PAUL D | 23d overdue |
| Art Unit | Apps |
|---|---|
| 3687 | 1 |
| 2857 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17734027 | SYSTEMS AND METHODS FOR OPTIMAL PERSONALIZED INFANT NUTRITION, DISEASE PREVENTION, AND GROWTH MONITORING | FURTADO, WINSTON RAHUL | 3687 | §101 | Final Rejection | 77d overdue | Pending | Apr 30, 2022 |
| 17341008 | SPECTRAL ANALYSIS VISUALIZATION SYSTEM AND METHOD | LEE, PAUL D | 2857 | §101 | Final Rejection | 23d overdue | Pending | Jun 07, 2021 |
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