Technology areas: Computing & Software • Networking & Security
6 pending office actions • 1 client • 6 examiners • 5 art units • 0 of 6 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Akona IP PC - Roku has 6 pending office actions in Computing & Software and 1753 career applications. The current workload is defined, while the application history provides broader context for the software-focused practice.
The resolved allowance rate is 83.66%, with an average of 2.65 office actions per allowance. These figures indicate a favorable recorded allowance outcome and a prosecution process that commonly requires multiple examination exchanges. The profile supports planning for both outcome expectations and response effort.
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 + other | 3 (50%) |
| §103 only | 1 (17%) |
| Multi-statute (no §101) | 2 (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 |
|---|---|---|---|
| LANGHNOJA, KUNAL N | 1 | 44.7% | +23.2% |
| DANG, HUNG Q | 1 | 68.2% | +18.9% |
| YUN, CARINA | 1 | 48.5% | +34.0% |
| MAIDO, MAGGIE T | 1 | 67.2% | +25.3% |
| SHAH, SAYED MUNEER | 1 | — | — |
| ROSEN, ELIZABETH H | 1 | 46.0% | +49.9% |
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 |
|---|---|---|---|
| 19261126 | VOICE CONTROL FOR SETTINGS ON TV OR OTHER ELECTRONIC DEVICES | LANGHNOJA, KUNAL N | — |
| 18440815 | THREAD WATCHDOG MANAGER | YUN, CARINA | — |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | MAIDO, MAGGIE T | — |
| 18423825 | RETRIEVAL OPTIMIZATION USING REINFORCEMENT LEARNING | SHAH, SAYED MUNEER | — |
| 18511873 | USE A GENERATIVE MODEL TO CREATE SYNTHETIC USERS FOR TESTING AND ANALYSIS | ROSEN, ELIZABETH H | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19261126 | VOICE CONTROL FOR SETTINGS ON TV OR OTHER ELECTRONIC DEVICES | LANGHNOJA, KUNAL N | — |
| 18597099 | GENERATION OF MEDIA SEGMENTS FROM LARGER MEDIA CONTENT FOR MEDIA CONTENT NAVIGATION | DANG, HUNG Q | — |
| 18440815 | THREAD WATCHDOG MANAGER | YUN, CARINA | — |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | MAIDO, MAGGIE T | — |
| 18511873 | USE A GENERATIVE MODEL TO CREATE SYNTHETIC USERS FOR TESTING AND ANALYSIS | ROSEN, ELIZABETH H | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ROKU, INC. | 6 |
| Art Unit | Apps |
|---|---|
| 2425 | 1 |
| 2484 | 1 |
| 2194 | 1 |
| 2129 | 1 |
| 2124 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19261126 | VOICE CONTROL FOR SETTINGS ON TV OR OTHER ELECTRONIC DEVICES | Roku, Inc. | LANGHNOJA, KUNAL N | 2425 | §102§103 | Non-Final OA | — | Pending | Jul 07, 2025 |
| 18597099 | GENERATION OF MEDIA SEGMENTS FROM LARGER MEDIA CONTENT FOR MEDIA CONTENT NAVIGATION | Roku, Inc. | DANG, HUNG Q | 2484 | §103 | Final Rejection | — | Pending | Mar 06, 2024 |
| 18440815 | THREAD WATCHDOG MANAGER | Roku, Inc. | YUN, CARINA | 2194 | §103§112 | Final Rejection | — | Pending | Feb 13, 2024 |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | Roku, Inc. | MAIDO, MAGGIE T | 2129 | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18423825 | RETRIEVAL OPTIMIZATION USING REINFORCEMENT LEARNING | Roku, Inc. | SHAH, SAYED MUNEER | 2124 | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18511873 | USE A GENERATIVE MODEL TO CREATE SYNTHETIC USERS FOR TESTING AND ANALYSIS | Roku, Inc. | ROSEN, ELIZABETH H | §101§103 | Non-Final OA | — | Pending | Nov 16, 2023 |
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Start Free Trial83.7% of resolved applications prosecuted by Akona Ip Pc - Roku were allowed, across 1,753 applications in USPTO records.
2.65 office actions per allowed application on average.
6 pending office actions as of October 2026, for 1 client, before 6 examiners in 5 art units.
