Technology area: Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready
Iris Tv Inc. has 6 pending office actions in Transportation, E-Commerce & Mechanical Systems. The portfolio spans 5 examiners and 5 art units, creating a broad examination footprint in which examiner and art-unit coverage are aligned.
AUSTIN, JAMIE H is the busiest examiner, with 2 pending matters. That assignment is the only identified concentration above the other examiner workloads, making Austin’s prosecution patterns especially relevant to docket planning.
The remaining pending activity is distributed among the other examiner and art-unit assignments. Counsel should avoid relying on a single uniform response approach and instead review claim treatment by examination relationship.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (20%) |
| §101 + other | 4 (80%) |
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 |
|---|---|---|---|
| AUSTIN, JAMIE H | 2 | 24.9% | +32.7% |
| ALVAREZ, RAQUEL | 1 | 49.7% | +7.4% |
| ANDREI, RADU | 1 | 36.7% | +19.5% |
| KANG, TIMOTHY J | 1 | 45.5% | +27.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18231642 | ENSEMBLE-BASED MULTIMEDIA ASSET RECOMMENDATION SYSTEM | ALVAREZ, RAQUEL | 21d |
| 16809430 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 28d |
| 18100286 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 34d |
| 17949811 | DUAL-OPTIMIZATION OF TARGETED DIGITAL ASSETS UNDER VOLUME AND POSITION CONSTRAINTS | ANDREI, RADU | — |
| 17942686 | METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA, AND SYSTEM FOR PRESENTATION OF DIGITAL MEDIA ASSETS BASED ON ASSESSED VALUE | KANG, TIMOTHY J | — |
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 |
|---|---|---|---|
| 16809430 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 28d |
| 18100286 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 34d |
| 17949811 | DUAL-OPTIMIZATION OF TARGETED DIGITAL ASSETS UNDER VOLUME AND POSITION CONSTRAINTS | ANDREI, RADU | — |
| 17942686 | METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA, AND SYSTEM FOR PRESENTATION OF DIGITAL MEDIA ASSETS BASED ON ASSESSED VALUE | KANG, TIMOTHY J | — |
| Art Unit | Apps |
|---|---|
| 3625 | 2 |
| 3622 | 1 |
| 3697 | 1 |
| 3689 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18231642 | ENSEMBLE-BASED MULTIMEDIA ASSET RECOMMENDATION SYSTEM | ALVAREZ, RAQUEL | 3622 | §101DP | Non-Final OA | 21d | Pending | Aug 08, 2023 |
| 18100286 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 3625 | §101§112 | Non-Final OA | 34d | Pending | Jan 23, 2023 |
| 17949811 | DUAL-OPTIMIZATION OF TARGETED DIGITAL ASSETS UNDER VOLUME AND POSITION CONSTRAINTS | ANDREI, RADU | 3697 | §101§103§112 | Final Rejection | — | Pending | Sep 21, 2022 |
| 17942686 | METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA, AND SYSTEM FOR PRESENTATION OF DIGITAL MEDIA ASSETS BASED ON ASSESSED VALUE | KANG, TIMOTHY J | 3689 | §101 | Final Rejection | — | Pending | Sep 12, 2022 |
| 16809430 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | AUSTIN, JAMIE H | 3625 | §101§103 | Final Rejection | 28d | Pending | Mar 04, 2020 |
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Start Free TrialIris Tv Inc. has 5 pending office actions as of October 2026, spread across 4 art units and 4 examiners.
Jamie H Austin has the most, with 2 of Iris Tv Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
