Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
7 pending office actions • 1 client • 6 examiners • 3 art units • 0 of 7 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Akona IP PC - Roku is a patent law firm that focuses on Networking & Security, having handled 1720 career applications. The firm achieves a resolved allowance rate of 83.54 percent, demonstrating a capability in securing patent protection for networking and security innovations. This success rate is an indicator of their proficiency in these technical fields.
The firm currently manages 7 pending office actions. Their prosecution history includes an average of 2.69 office actions per allowance. This figure indicates an efficient prosecution process, with the firm typically reaching an allowance in the rounds of examiner interaction recorded in the data. For practitioners, the 2.69 average provides a benchmark for estimating the effort required for new filings in Networking & Security.
With 1720 career applications, the firm has a foundation of experience in the industry. The 83.54 percent allowance rate and 2.69 office actions per allowance together paint a picture of a firm with a track record of success. These metrics, along with the 7 pending office actions, offer a view of the firm's performance.
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 (14%) |
| §101 + other | 3 (43%) |
| §103 only | 1 (14%) |
| Multi-statute (no §101) | 2 (29%) |
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 |
|---|---|---|---|
| SHAH, SAYED MUNEER | 2 | — | — |
| LANGHNOJA, KUNAL N | 1 | 44.5% | +23.1% |
| GAUTHIER, GERALD | 1 | 91.1% | +6.6% |
| JACOB, AJITH | 1 | 79.0% | +4.1% |
| YUN, CARINA | 1 | 48.5% | +34.0% |
| MAIDO, MAGGIE T | 1 | 67.3% | +29.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19261126 | VOICE CONTROL FOR SETTINGS ON TV OR OTHER ELECTRONIC DEVICES | LANGHNOJA, KUNAL N | — |
| 19037613 | POWER SHARING FOR SMART DOORBELL HEAD AND CHIME CONTROLLER | GAUTHIER, GERALD | — |
| 18440815 | THREAD WATCHDOG MANAGER | YUN, CARINA | — |
| 18423825 | RETRIEVAL OPTIMIZATION USING REINFORCEMENT LEARNING | SHAH, SAYED MUNEER | — |
| 18423802 | ENHANCING TRANSFER LEARNING FOR LARGE LANGUAGE MODELS | SHAH, SAYED MUNEER | — |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | MAIDO, MAGGIE T | — |
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 |
|---|---|---|---|
| 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 | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ROKU, INC. | 7 |
| Art Unit | Apps |
|---|---|
| 2425 | 1 |
| 2161 | 1 |
| 4100 | 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 |
| 19037613 | POWER SHARING FOR SMART DOORBELL HEAD AND CHIME CONTROLLER | Roku, Inc. | GAUTHIER, GERALD | §101 | Non-Final OA | — | Pending | Jan 27, 2025 | |
| 19013772 | TECHNIQUES FOR SHARING CONTENT LINKS IN MULTIMEDIA SYSTEM | Roku, Inc. | JACOB, AJITH | 2161 | §103 | Final Rejection | — | Pending | Jan 08, 2025 |
| 18440815 | THREAD WATCHDOG MANAGER | Roku, Inc. | YUN, CARINA | 4100 | §103§112 | Non-Final OA | — | Pending | Feb 13, 2024 |
| 18423825 | RETRIEVAL OPTIMIZATION USING REINFORCEMENT LEARNING | Roku, Inc. | SHAH, SAYED MUNEER | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 | |
| 18423802 | ENHANCING TRANSFER LEARNING FOR LARGE LANGUAGE MODELS | Roku, Inc. | SHAH, SAYED MUNEER | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 | |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | Roku, Inc. | MAIDO, MAGGIE T | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 |
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