Prosecution Insights
Prosecution Insights
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (14%) |
| §101 + other | 2 (29%) |
| §103 only | 2 (29%) |
| §102 only | 1 (14%) |
| Multi-statute (no §101) | 1 (14%) |
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 |
|---|---|---|---|
| NGUYEN, KIM T | 1 | 87.2% | +8.3% |
| VY, HUNG T | 1 | 86.2% | +2.1% |
| MOLES, JAMES P | 1 | 61.0% | +38.5% |
| BADER, ROBERT N. | 1 | 44.4% | +25.7% |
| BROWN, SARA GRACE | 1 | 29.1% | +32.2% |
| CHUNG, ANDREW | 1 | 54.8% | +32.0% |
| EL-HAGE HASSAN, ABDALLAH A | 1 | 41.4% | +39.3% |
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 |
|---|---|---|---|
| 19256881 | MULTI-AGENT FRAMEWORK FOR OPTIMIZED QUERY EXECUTION IN FEDERATED DATA SYSTEMS | NGUYEN, KIM T | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18754821 | SYSTEM AND METHOD OF INTELLIGENT TRANSLATION OF METADATA LABEL NAMES AND MAPPING TO NATURAL LANGUAGE UNDERSTANDING | CHUNG, ANDREW | 46d overdue |
| 18756656 | RECOMMENDATION ENGINE FOR SUGGESTING INTEGRATION PROCESSES USING ARTIFICIAL INTELLIGENCE | BROWN, SARA GRACE | 29d |
| 18438244 | ARTIFICIAL-INTELLIGENCE-ASSISTED ERROR PREDICTION IN INTEGRATION PROCESSES | EL-HAGE HASSAN, ABDALLAH A | 39d |
| 19255212 | HYBRID ARCHITECTURE FOR ARTIFICIAL INTELLIGENCE WITH ITERATIVE LOCAL-GLOBAL MODEL FEEDBACK LOOP FOR CONTINUOUS LEARNING | VY, HUNG T | — |
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 |
|---|---|---|---|
| 18754821 | SYSTEM AND METHOD OF INTELLIGENT TRANSLATION OF METADATA LABEL NAMES AND MAPPING TO NATURAL LANGUAGE UNDERSTANDING | CHUNG, ANDREW | 46d overdue |
| 18756656 | RECOMMENDATION ENGINE FOR SUGGESTING INTEGRATION PROCESSES USING ARTIFICIAL INTELLIGENCE | BROWN, SARA GRACE | 29d |
| 18438244 | ARTIFICIAL-INTELLIGENCE-ASSISTED ERROR PREDICTION IN INTEGRATION PROCESSES | EL-HAGE HASSAN, ABDALLAH A | 39d |
| 19010551 | UNIFIED GOVERNANCE OF ARTIFICIAL INTELLIGENCE AGENTS | MOLES, JAMES P | — |
| 18776008 | HEATMAP IN LOW-CODE INTEGRATION ENVIRONMENT | BADER, ROBERT N. | — |
| Art Unit | Apps |
|---|---|
| 2153 | 1 |
| 2163 | 1 |
| 2494 | 1 |
| 2611 | 1 |
| 3625 | 1 |
| 2898 | 1 |
| 3623 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19256881 | MULTI-AGENT FRAMEWORK FOR OPTIMIZED QUERY EXECUTION IN FEDERATED DATA SYSTEMS | NGUYEN, KIM T | 2153 | §102 | Non-Final OA | — | Pending | Jul 01, 2025 |
| 19255212 | HYBRID ARCHITECTURE FOR ARTIFICIAL INTELLIGENCE WITH ITERATIVE LOCAL-GLOBAL MODEL FEEDBACK LOOP FOR CONTINUOUS LEARNING | VY, HUNG T | 2163 | §101§103 | Non-Final OA | — | Pending | Jun 30, 2025 |
| 19010551 | UNIFIED GOVERNANCE OF ARTIFICIAL INTELLIGENCE AGENTS | MOLES, JAMES P | 2494 | §103 | Non-Final OA | — | Pending | Jan 06, 2025 |
| 18776008 | HEATMAP IN LOW-CODE INTEGRATION ENVIRONMENT | BADER, ROBERT N. | 2611 | §103 | Non-Final OA | — | Pending | Jul 17, 2024 |
| 18756656 | RECOMMENDATION ENGINE FOR SUGGESTING INTEGRATION PROCESSES USING ARTIFICIAL INTELLIGENCE | BROWN, SARA GRACE | 3625 | §101§103 | Final Rejection | 29d | Pending | Jun 27, 2024 |
| 18754821 | SYSTEM AND METHOD OF INTELLIGENT TRANSLATION OF METADATA LABEL NAMES AND MAPPING TO NATURAL LANGUAGE UNDERSTANDING | CHUNG, ANDREW | 2898 | §102§103 | Non-Final OA | 46d overdue | Pending | Jun 26, 2024 |
| 18438244 | ARTIFICIAL-INTELLIGENCE-ASSISTED ERROR PREDICTION IN INTEGRATION PROCESSES | EL-HAGE HASSAN, ABDALLAH A | 3623 | §101 | Non-Final OA | 39d | Pending | Feb 09, 2024 |
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