Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Cogntiv Neurosystems Ltd. currently manages 2 pending office actions within the Medical Devices & Mechanical Engineering technology area. This portfolio is distributed across 2 distinct examiners and 2 distinct art units. The examiner BLOCH, MICHAEL RYAN is identified as the busiest examiner for this company, being responsible for 1 pending office action.
The presence of 2 distinct art units suggests the medical device filings may span different technical classifications even with a small volume of active cases. Practitioners should note that the workload is split, as the pending actions are shared among 2 examiners. Because BLOCH, MICHAEL RYAN holds 1 pending action, the remaining action is assigned to the other distinct examiner. This distribution across 2 art units may require specialized arguments tailored to the specific requirements of each unit. The company maintains a balanced examiner load for its current pending matters. This structure ensures that no single examiner handles the entire active portfolio.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 2 (100%) |
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 |
|---|---|---|---|
| BLOCH, MICHAEL RYAN | 1 | 50.0% | +54.6% |
| STARKS, WILBERT L | 1 | 74.7% | +3.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19003949 | USING ENVIRONMENTAL STIMULUS IN MACHINE LEARNING TO RECOGNIZE NEURAL ACTIVITIES, AND APPLICATIONS THEREOF | STARKS, WILBERT L | 36d |
| 19003941 | USING A BRAIN PROFILE TO DETERMINE A PROPERTY OF A SUBJECT, AND APPLICATIONS THEREOF | BLOCH, MICHAEL RYAN | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19003941 | USING A BRAIN PROFILE TO DETERMINE A PROPERTY OF A SUBJECT, AND APPLICATIONS THEREOF | BLOCH, MICHAEL RYAN | — |
| Art Unit | Apps |
|---|---|
| 3791 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19003941 | USING A BRAIN PROFILE TO DETERMINE A PROPERTY OF A SUBJECT, AND APPLICATIONS THEREOF | BLOCH, MICHAEL RYAN | 3791 | §101§112 | Non-Final OA | — | Pending | Dec 27, 2024 |
| 19003949 | USING ENVIRONMENTAL STIMULUS IN MACHINE LEARNING TO RECOGNIZE NEURAL ACTIVITIES, AND APPLICATIONS THEREOF | STARKS, WILBERT L | 2122 | §101§103 | Final Rejection | 36d | Pending | Dec 27, 2024 |
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