Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Communications
15 pending office actions • 1 client • 15 examiners • 9 art units • 0 of 15 (0%) have an AI response strategy ready • 20 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 |
|---|---|
| §103 only | 6 (40%) |
| §102 only | 1 (7%) |
| Double-patenting only | 3 (20%) |
| Multi-statute (no §101) | 5 (33%) |
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 |
|---|---|---|---|
| KANG, TIMOTHY J | 1 | 45.7% | +26.8% |
| BLACK-CHILDRESS, RAJSHEED O | 1 | 63.0% | +23.8% |
| SHELEHEDA, JAMES R | 1 | 67.6% | +20.5% |
| PARK, SUNGHYOUN | 1 | 75.4% | +9.3% |
| IDOWU, OLUGBENGA O | 1 | 71.6% | +19.0% |
| BHATNAGAR, ANAND P | 1 | 91.6% | +2.1% |
| ARMSTRONG, ANGELA A | 1 | 73.9% | +8.8% |
| BARKER, TODD L | 1 | 75.7% | +23.1% |
| BODNARK, MATTHEW JAMES | 1 | 84.6% | +23.1% |
| BIANCAMANO, ALYSSA N | 1 | 55.9% | +36.4% |
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 |
|---|---|---|---|
| 18976916 | Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object | BHATNAGAR, ANAND P | — |
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 |
|---|---|---|---|
| 18732183 | Computing System with Personalized Educational Content Generation Feature | BIANCAMANO, ALYSSA N | 31d overdue |
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | BLACK-CHILDRESS, RAJSHEED O | — |
| 18913919 | Computing System with Multi-Layered and Unified Machine-Learning Model | BODNARK, MATTHEW JAMES | — |
| 18667823 | Computing System with Functionality Related to a Machine-Learning Model Store | XIA, XUYANG | — |
| 18340808 | Content System with Speech-Related Audio Content Replacement Feature | CHUNG, DANIEL WONSUK | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18732183 | Computing System with Personalized Educational Content Generation Feature | BIANCAMANO, ALYSSA N | 31d overdue |
| 19311975 | Coordinated Processing of Ordering Based on Media Content Presentation | KANG, TIMOTHY J | — |
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | BLACK-CHILDRESS, RAJSHEED O | — |
| 19227699 | Dynamic Control of Media-Content Presentation Based on User Presence and/or User Profile | SHELEHEDA, JAMES R | — |
| 19034015 | Computing System with Device Attestation Feature | IDOWU, OLUGBENGA O | — |
| 18972478 | Dynamic Provisioning of IoT Devices From an Online Application Marketplace | BARKER, TODD L | — |
| 18913919 | Computing System with Multi-Layered and Unified Machine-Learning Model | BODNARK, MATTHEW JAMES | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ROKU, INC. | 15 |
| Art Unit | Apps |
|---|---|
| 2484 | 1 |
| 2494 | 1 |
| 2449 | 1 |
| 2668 | 1 |
| 3715 | 1 |
| 2451 | 1 |
| 2194 | 1 |
| 2659 | 1 |
| 2471 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19311975 | Coordinated Processing of Ordering Based on Media Content Presentation | Roku, Inc. | KANG, TIMOTHY J | DP | Non-Final OA | — | Pending | Aug 27, 2025 | |
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | Roku, Inc. | BLACK-CHILDRESS, RAJSHEED O | §102§103§112Other | Non-Final OA | — | Pending | Jul 22, 2025 | |
| 19227699 | Dynamic Control of Media-Content Presentation Based on User Presence and/or User Profile | Roku, Inc. | SHELEHEDA, JAMES R | DP | Non-Final OA | — | Pending | Jun 04, 2025 | |
| 19184738 | Content System with User-Input Based Video Content Generation Feature | Roku, Inc. | PARK, SUNGHYOUN | 2484 | §103 | Final Rejection | — | Pending | Apr 21, 2025 |
| 19034015 | Computing System with Device Attestation Feature | Roku, Inc. | IDOWU, OLUGBENGA O | 2494 | §103 | Non-Final OA | — | Pending | Jan 22, 2025 |
| 18976916 | Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object | Roku, Inc. | BHATNAGAR, ANAND P | DP | Non-Final OA | — | Pending | Dec 11, 2024 | |
| 18975589 | Media System with Closed-Captioning Data and/or Subtitle Data Generation Features | Roku, Inc. | ARMSTRONG, ANGELA A | §103Other | Non-Final OA | — | Pending | Dec 10, 2024 | |
| 18972478 | Dynamic Provisioning of IoT Devices From an Online Application Marketplace | Roku, Inc. | BARKER, TODD L | 2449 | §103 | Final Rejection | — | Pending | Dec 06, 2024 |
| 18913919 | Computing System with Multi-Layered and Unified Machine-Learning Model | Roku, Inc. | BODNARK, MATTHEW JAMES | 2668 | §102§103 | Non-Final OA | — | Pending | Oct 11, 2024 |
| 18732183 | Computing System with Personalized Educational Content Generation Feature | Roku, Inc. | BIANCAMANO, ALYSSA N | 3715 | §102§103 | Final Rejection | 31d overdue | Pending | Jun 03, 2024 |
| 18667823 | Computing System with Functionality Related to a Machine-Learning Model Store | Roku, Inc. | XIA, XUYANG | §102§103 | Non-Final OA | — | Pending | May 17, 2024 | |
| 18529753 | Media System with Selective Message Output Feature | Roku, Inc. | CHOU, ALAN S | 2451 | §102 | Final Rejection | 30d overdue | Pending | Dec 05, 2023 |
| 18496459 | Local Area Network System with Machine Learning-Based Task Offload Feature | Roku, Inc. | ANYA, CHARLES E | 2194 | §103 | Final Rejection | 5d | Pending | Oct 27, 2023 |
| 18340808 | Content System with Speech-Related Audio Content Replacement Feature | Roku, Inc. | CHUNG, DANIEL WONSUK | 2659 | §102§103 | Non-Final OA | — | Pending | Jun 23, 2023 |
| 17932444 | Distributed Maintenance of Operational Data Among IoT Devices, with Soft-Wiring or Other Configuration | Roku, Inc. | ADHAMI, MOHAMMAD SAJID | 2471 | §103 | Non-Final OA | 50d | Pending | Sep 15, 2022 |
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