Technology areas: Computing & Software • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
UL LLC has 4 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters are distributed across 4 distinct examiners and 4 distinct art units, indicating that the pending work is not concentrated in one examination group.
PATEL, DIPEN M is the busiest examiner, with 1 pending matter. The distribution supports application-level preparation, including separate review of examiner practice, art-unit context, and the technical distinctions relied upon in each response.
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 (25%) |
| §101 + other | 1 (25%) |
| §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 |
|---|---|---|---|
| PATEL, DIPEN M | 1 | 20.0% | +23.7% |
| GOLD, HENRY JOYNER | 1 | — | — |
| KIM, SEOKJIN | 1 | 78.3% | +13.8% |
| SENSENIG, SHAUN D | 1 | 14.4% | +16.6% |
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 |
|---|---|---|---|
| 19073635 | USING MACHINE LEARNING TO VIRTUALIZE PRODUCT TESTS | PATEL, DIPEN M | — |
| 18085519 | TECHNOLOGIES FOR USING MACHINE LEARNING TO ASSESS PRODUCTS AND PRODUCT SUPPLIERS | SENSENIG, SHAUN D | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19073635 | USING MACHINE LEARNING TO VIRTUALIZE PRODUCT TESTS | PATEL, DIPEN M | — |
| 17797386 | TECHNOLOGIES FOR COLLECTING PLANT ENVIRONMENT DATA AND ADJUSTING PLANT ENVIRONMENT CONTROLS ASSOCIATED WITH PLANT GROWTH | KIM, SEOKJIN | — |
| 18085519 | TECHNOLOGIES FOR USING MACHINE LEARNING TO ASSESS PRODUCTS AND PRODUCT SUPPLIERS | SENSENIG, SHAUN D | — |
| Art Unit | Apps |
|---|---|
| 3621 | 1 |
| 2189 | 1 |
| 2845 | 1 |
| 3629 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19073635 | USING MACHINE LEARNING TO VIRTUALIZE PRODUCT TESTS | PATEL, DIPEN M | 3621 | §101Other | Non-Final OA | — | Pending | Mar 07, 2025 |
| 18209994 | TECHNOLOGIES FOR USING RESULTS OF PHYSICAL AND VIRTUAL PRODUCT TESTS TO ASSESS PRODUCT STANDARDS COMPLIANCE | GOLD, HENRY JOYNER | 2189 | §103 | Non-Final OA | — | Pending | Jun 14, 2023 |
| 17797386 | TECHNOLOGIES FOR COLLECTING PLANT ENVIRONMENT DATA AND ADJUSTING PLANT ENVIRONMENT CONTROLS ASSOCIATED WITH PLANT GROWTH | KIM, SEOKJIN | 2845 | §103 | Final Rejection | — | Pending | Feb 02, 2023 |
| 18085519 | TECHNOLOGIES FOR USING MACHINE LEARNING TO ASSESS PRODUCTS AND PRODUCT SUPPLIERS | SENSENIG, SHAUN D | 3629 | §101§103 | Final Rejection | — | Pending | Dec 20, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialUL LLC has 4 pending office actions as of October 2026, spread across 4 art units and 4 examiners.
Dipen M Patel has the most, with 1 of UL LLC's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
