Prosecution Insights
Prosecution Insights
Technology area: Communications
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Claripi Inc. has 2 pending office actions in the Communications technology area. These actions are split between 2 distinct examiners and the involved art units. This matching count of actions to examiners and art units indicates that each of the 2 pending office actions is being treated as a separate technical and procedural matter. TRAN, JENNY NGAN is the busiest examiner, responsible for 1 pending office action.
Because the pending office actions are in 2 distinct art units, practitioners cannot rely on a single set of art unit-specific precedents. Each of the 2 distinct examiners will apply the standards of their respective units to the pending office action they hold. This distribution requires Claripi Inc. to maintain separate prosecution tracks within the Communications field. The 2 pending office actions represent the entirety of the current workload for these 2 distinct examiners in this portfolio.
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 |
|---|---|
| §112 only | 1 (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 |
|---|---|---|---|
| CHANG, DANIEL CHEOLJIN | 1 | 88.7% | +13.6% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | — |
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 |
|---|---|---|---|
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | — |
| Art Unit | Apps |
|---|---|
| 2669 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | 2669 | §112 | Final Rejection | — | Pending | Jul 12, 2024 |
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