Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Huinno Co. Ltd. currently manages 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 3 distinct examiners, which indicates that each pending matter is being reviewed by a different individual. This one-to-one ratio between actions and examiners suggests that the company's prosecution experience is spread across multiple perspectives. The workload is situated within 2 distinct art units, showing some technical concentration despite the involvement of 3 distinct examiners.
BALAJ, ANTHONY MICHAEL is identified as the busiest examiner for the portfolio, currently managing 1 busiest examiner pending action. Since the busiest examiner pending count is 1, the 3 pending office actions are evenly divided among the 3 distinct examiners. This distribution across 2 distinct art units in the Transportation, E-Commerce & Mechanical Systems area suggests that practitioners should be prepared for different examiner styles even when dealing with similar technical subject matter. With 3 pending office actions total, the company has multiple opportunities to secure rights, but must manage the specific requirements of each of the 3 distinct examiners involved.
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 (33%) |
| §101 + other | 2 (67%) |
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 |
|---|---|---|---|
| BALAJ, ANTHONY MICHAEL | 1 | 30.6% | +30.6% |
| LEE, ERICA SHENGKAI | 1 | 65.4% | +30.1% |
| HODGE, LAURA NICOLE | 1 | 49.2% | +39.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18879075 | METHOD, SYSTEM AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ASSISTING ANALYSIS OF BIO-SIGNAL BY USING CLUSTERING | BALAJ, ANTHONY MICHAEL | — |
| 18801507 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING ARTIFICIAL NEURAL NETWORKS | LEE, ERICA SHENGKAI | — |
| 18606993 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING COMPOSITE ARTIFICIAL NEURAL NETWORK | HODGE, LAURA NICOLE | — |
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 |
|---|---|---|---|
| 18879075 | METHOD, SYSTEM AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ASSISTING ANALYSIS OF BIO-SIGNAL BY USING CLUSTERING | BALAJ, ANTHONY MICHAEL | — |
| 18801507 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING ARTIFICIAL NEURAL NETWORKS | LEE, ERICA SHENGKAI | — |
| 18606993 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING COMPOSITE ARTIFICIAL NEURAL NETWORK | HODGE, LAURA NICOLE | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3792 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18879075 | METHOD, SYSTEM AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ASSISTING ANALYSIS OF BIO-SIGNAL BY USING CLUSTERING | BALAJ, ANTHONY MICHAEL | 3682 | §101§102§103§112 | Non-Final OA | — | Pending | Jan 23, 2025 |
| 18801507 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING ARTIFICIAL NEURAL NETWORKS | LEE, ERICA SHENGKAI | — | §101§103 | Non-Final OA | — | Pending | Aug 12, 2024 |
| 18606993 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING ARRHYTHMIA USING COMPOSITE ARTIFICIAL NEURAL NETWORK | HODGE, LAURA NICOLE | 3792 | §101 | Non-Final OA | — | Pending | Mar 15, 2024 |
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