Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Deep Forest Sciences Inc. has 2 pending office actions in the Computing & Software technology area. These matters are split across 2 distinct art units, showing that the company's software-related intellectual property is being evaluated in different specialized groups. This split across multiple units may reflect the multi-faceted nature of their computing technologies, requiring expertise from different examination divisions.
The portfolio involves distinct examiners for each action, with COYER, RYAN D identified as the busiest examiner. COYER, RYAN D is currently handling 1 pending office action, which represents a portion of the company's active prosecution workload. Managing the workload across different art units requires a coordinated effort to ensure that the arguments presented in a particular unit do not conflict with those in another. The involvement of distinct examiners further highlights the need for a versatile prosecution strategy that can adapt to different individual perspectives.
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 | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| COYER, RYAN D | 1 | 79.2% | +19.9% |
| OCHOA, JUAN CARLOS | 1 | 67.3% | +22.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18414136 | TECHNIQUES FOR A CLOUD SCIENTIFIC MACHINE LEARNING PROGRAMMING ENVIRONMENT | COYER, RYAN D | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18414136 | TECHNIQUES FOR A CLOUD SCIENTIFIC MACHINE LEARNING PROGRAMMING ENVIRONMENT | COYER, RYAN D | — |
| 17541202 | DIFFERENTIABLE MACHINES FOR PHYSICAL SYSTEMS | OCHOA, JUAN CARLOS | — |
| Art Unit | Apps |
|---|---|
| 2191 | 1 |
| 2186 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18414136 | TECHNIQUES FOR A CLOUD SCIENTIFIC MACHINE LEARNING PROGRAMMING ENVIRONMENT | COYER, RYAN D | 2191 | §102§103§112 | Final Rejection | — | Pending | Jan 16, 2024 |
| 17541202 | DIFFERENTIABLE MACHINES FOR PHYSICAL SYSTEMS | OCHOA, JUAN CARLOS | 2186 | §103 | Non-Final OA | — | Pending | Dec 02, 2021 |
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