Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
13 pending office actions • 4 clients • 12 examiners • 11 art units • 0 of 13 (0%) have an AI response strategy ready
Shield Intellectual Property PC has 16 pending office actions in Transportation, E-Commerce & Mechanical Systems and 896 career applications. The profile combines current examination activity with a defined application record in this technology area.
The resolved allowance rate is 95.43%, and allowed matters averaged 3.9 office actions per allowance. The rate measures outcomes among resolved matters, while the action average indicates the examination activity associated with allowances. Practitioners can use these measures to evaluate historical results separately from the active docket and to assess the level of prosecution interaction reflected in allowed cases.
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 (8%) |
| §101 + other | 6 (46%) |
| §103 only | 3 (23%) |
| §102 only | 1 (8%) |
| Multi-statute (no §101) | 2 (15%) |
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% |
| HOANG, HIEU T | 1 | 80.9% | +16.3% |
| BARKER, TODD L | 1 | 75.5% | +23.4% |
| MOORE, WHITNEY | 1 | 88.2% | +10.1% |
| FEREJA, SAMUEL D | 1 | 75.0% | +10.1% |
| ROBERT, DANIEL M | 1 | 77.8% | +9.9% |
| HELLNER, MARK | 1 | 90.4% | +8.6% |
| ALVAREZ, RAQUEL | 1 | 49.7% | +7.4% |
| ANDREI, RADU | 1 | 36.7% | +19.5% |
| KANG, TIMOTHY J | 1 | 45.5% | +27.0% |
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 |
|---|---|---|---|
| 19058380 | MINIMIZED LATENCY INGRESS ARBITRATION | HOANG, HIEU T | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 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 |
| 19017020 | MULTI-DATAPATH SUPPORT FOR LOW LATENCY TRAFFIC MANAGER | BARKER, TODD L | — |
| 19007376 | MOTORCYCLE LANE SPLITTING DETECTION SYSTEM | MOORE, WHITNEY | — |
| 18373512 | HYBRID 3D SENSING USING TIME-OF-FLIGHT, EVENT-BASED STRUCTURED LIGHT AND STEREO VISION | HELLNER, MARK | — |
| 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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18856274 | SIGN PREDICTION IN VIDEO CODING | FEREJA, SAMUEL D | 9d overdue |
| 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 |
| 19058380 | MINIMIZED LATENCY INGRESS ARBITRATION | HOANG, HIEU T | — |
| 19017020 | MULTI-DATAPATH SUPPORT FOR LOW LATENCY TRAFFIC MANAGER | BARKER, TODD L | — |
| 19007376 | MOTORCYCLE LANE SPLITTING DETECTION SYSTEM | MOORE, WHITNEY | — |
| 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 | — |
| Client (Assignee) | Pending OAs |
|---|---|
| IRIS.TV, INC. | 5 |
| Volkswagen | 4 |
| MARVELL ASIA PTE LTD | 2 |
| Dolby | 2 |
| Art Unit | Apps |
|---|---|
| 2449 | 2 |
| 3625 | 2 |
| 3646 | 1 |
| 2487 | 1 |
| 3665 | 1 |
| 3645 | 1 |
| 3622 | 1 |
| 3697 | 1 |
| 3689 | 1 |
| 2484 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19058380 | MINIMIZED LATENCY INGRESS ARBITRATION | Marvell Asia Pte. Ltd. | HOANG, HIEU T | 2449 | §102 | Final Rejection | — | Pending | Feb 20, 2025 |
| 19017020 | MULTI-DATAPATH SUPPORT FOR LOW LATENCY TRAFFIC MANAGER | Marvell Asia Pte. Ltd. | BARKER, TODD L | 2449 | §102§103 | Final Rejection | — | Pending | Jan 10, 2025 |
| 19007376 | MOTORCYCLE LANE SPLITTING DETECTION SYSTEM | Volkswagen Aktiengesellschaft | MOORE, WHITNEY | 3646 | §101§103 | Non-Final OA | — | Pending | Dec 31, 2024 |
| 18856274 | SIGN PREDICTION IN VIDEO CODING | Dolby Laboratories Licensing Corporation | FEREJA, SAMUEL D | 2487 | §103 | Non-Final OA | 9d overdue | Pending | Oct 11, 2024 |
| 18541363 | TRANSFORMER-BASED AI PLANNER FOR LANE CHANGING ON MULTI-LANE ROAD | Volkswagen Aktiengesellschaft | ROBERT, DANIEL M | 3665 | §103 | Non-Final OA | 8d | Pending | Dec 15, 2023 |
| 18373512 | HYBRID 3D SENSING USING TIME-OF-FLIGHT, EVENT-BASED STRUCTURED LIGHT AND STEREO VISION | Volkswagen Aktiengesellschaft | HELLNER, MARK | 3645 | §102§103 | Non-Final OA | — | Pending | Sep 27, 2023 |
| 18231642 | ENSEMBLE-BASED MULTIMEDIA ASSET RECOMMENDATION SYSTEM | Iris.Tv, Inc. | ALVAREZ, RAQUEL | 3622 | §101DP | Non-Final OA | 21d | Pending | Aug 08, 2023 |
| 18100286 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | Iris.Tv, Inc. | 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 | Iris.Tv, Inc. | 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 | Iris.Tv, Inc. | KANG, TIMOTHY J | 3689 | §101 | Final Rejection | — | Pending | Sep 12, 2022 |
| 17900738 | VIRTUAL REALITY CINEMA-IMMERSIVE MOVIE WATCHING FOR HEADMOUNTED DISPLAYS | Dolby Laboratories Licensing Corporation | NASRI, MARYAM A | 2484 | §103Other | Non-Final OA | — | Pending | Aug 31, 2022 |
| 17874753 | METHOD FOR REDUCING CARBON FOOTPRINT LEVERAGING A COST FUNCTION FOR FOCUSED OPTIMIZATION | Volkswagen Aktiengesellschaft | GODBOLD, DAVID GARRISON | 3628 | §101§103 | Final Rejection | — | Pending | Jul 27, 2022 |
| 16809430 | SELECTING DIGITAL MEDIA ASSETS BASED ON TRANSITIONS ACROSS CATEGORIES | Iris.Tv, Inc. | AUSTIN, JAMIE H | 3625 | §101§103 | Final Rejection | 28d | Pending | Mar 04, 2020 |
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Start Free Trial95.4% of resolved applications prosecuted by Shield Intellectual Property Pc were allowed, across 896 applications in USPTO records.
3.90 office actions per allowed application on average.
13 pending office actions as of October 2026, for 4 clients, before 12 examiners in 11 art units.
