8 pending office actions • 3 clients • 8 examiners • 6 art units • 0 of 8 (0%) have an AI response strategy ready • 12 patents granted in the last 365 days
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 | 7 (88%) |
| No statute on record | 1 (12%) |
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 |
|---|---|---|---|
| UDDIN, MOHAMMED R | 1 | 77.9% | +30.3% |
| MEIS, JON CHRISTOPHER | 1 | 34.5% | +47.0% |
| KAMRUZZAMAN, MD | 1 | — | — |
| VO, TED T | 1 | 81.0% | +9.4% |
| LI, LIANG Y | 1 | 61.3% | +69.0% |
| LEE, TSU-CHANG | 1 | 72.5% | +14.7% |
| SITIRICHE, LUIS A | 1 | 77.5% | +21.7% |
| KIM, DAVID | 1 | 100.0% | +0.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18589738 | DETERMINING NATURAL LANGUAGE DESCRIPTION OF A SOFTWARE CODE | VO, TED T | — |
| 18099722 | DETECTING OUT-OF-DISTRIBUTION DATA SAMPLE IN A MACHINE LEARNING OPERATION | KIM, DAVID | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19053659 | EVENT DATA PROCESSING | UDDIN, MOHAMMED R | — |
| 18661917 | METHOD AND SYSTEM FOR TOPIC MINING | MEIS, JON CHRISTOPHER | — |
| 18482251 | DETERMINING SIMILARITY SAMPLES USING A MACHINE LEARNING OPERATION | LI, LIANG Y | — |
| 18482258 | DETERMINING SIMILARITY SAMPLES USING A MACHINE LEARNING OPERATION WITH CLUSTERING | LEE, TSU-CHANG | — |
| 18179248 | CLUSTERING ANALYSIS FOR DEDUPLICATION OF TRAINING SET SAMPLES FOR MACHINE LEARNING BASED COMPUTER THREAT ANALYSIS | SITIRICHE, LUIS A | — |
| Client (Assignee) | Pending OAs |
|---|---|
| CYLANCE INC. | 4 |
| BlackBerry Limited | 3 |
| BlackBerry | 1 |
| Art Unit | Apps |
|---|---|
| 2191 | 2 |
| 2161 | 1 |
| 2654 | 1 |
| 2143 | 1 |
| 2128 | 1 |
| 2141 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19053659 | EVENT DATA PROCESSING | Blackberry Limited | UDDIN, MOHAMMED R | 2161 | §103 | Final Rejection | — | Pending | Feb 14, 2025 |
| 18661917 | METHOD AND SYSTEM FOR TOPIC MINING | Blackberry Limited | MEIS, JON CHRISTOPHER | 2654 | §103 | Final Rejection | — | Pending | May 13, 2024 |
| 18611085 | MODIFYING SOFTWARE CODE | CYLANCE INC. | KAMRUZZAMAN, MD | 2191 | §103 | Non-Final OA | — | Pending | Mar 20, 2024 |
| 18589738 | DETERMINING NATURAL LANGUAGE DESCRIPTION OF A SOFTWARE CODE | CYLANCE INC. | VO, TED T | 2191 | §103 | Final Rejection | — | Pending | Feb 28, 2024 |
| 18482251 | DETERMINING SIMILARITY SAMPLES USING A MACHINE LEARNING OPERATION | CYLANCE INC. | LI, LIANG Y | 2143 | §103 | Non-Final OA | — | Pending | Oct 06, 2023 |
| 18482258 | DETERMINING SIMILARITY SAMPLES USING A MACHINE LEARNING OPERATION WITH CLUSTERING | CYLANCE INC. | LEE, TSU-CHANG | 2128 | §103 | Non-Final OA | — | Pending | Oct 06, 2023 |
| 18179248 | CLUSTERING ANALYSIS FOR DEDUPLICATION OF TRAINING SET SAMPLES FOR MACHINE LEARNING BASED COMPUTER THREAT ANALYSIS | CYLANCE INC. | SITIRICHE, LUIS A | — | Non-Final OA | — | Pending | Mar 06, 2023 | |
| 18099722 | DETECTING OUT-OF-DISTRIBUTION DATA SAMPLE IN A MACHINE LEARNING OPERATION | Blackberry Limited | KIM, DAVID | 2141 | §103 | Non-Final OA | — | Pending | Jan 20, 2023 |
IP Author helps law firms respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial