Technology area: Communications
3 pending office actions • 2 art units • 2 examiners • 0 of 3 (0%) have an AI response strategy ready
Leela AI Inc. has 3 pending office actions in Communications. The matters involve 2 examiners and 2 art units, so the docket has some examiner overlap across its technical assignments.
RUSH, ERIC is the busiest examiner, with 2 pending matters. Counsel can use that relationship to coordinate the affected responses while treating the remaining matter separately.
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 |
|---|---|
| §103 only | 1 (33%) |
| Multi-statute (no §101) | 2 (67%) |
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 |
|---|---|---|---|
| RUSH, ERIC | 2 | 60.8% | +36.2% |
| VANCHY JR, MICHAEL J | 1 | 66.9% | +20.0% |
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 |
|---|---|---|---|
| 19011538 | METHODS AND SYSTEMS FOR TRAINING AND EXECUTION OF IMPROVED LEARNING SYSTEMS FOR IDENTIFICATION OF COMPONENTS IN TIME-BASED DATA STREAMS | VANCHY JR, MICHAEL J | — |
| 18917709 | Computer Vision Learning System | RUSH, ERIC | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19093703 | METHODS AND SYSTEMS FOR EXECUTION OF IMPROVED LEARNING SYSTEMS FOR IDENTIFICATION OF RULES COMPLIANCE BY COMPONENTS IN TIME-BASED DATA STREAMS | RUSH, ERIC | 37d overdue |
| 19011538 | METHODS AND SYSTEMS FOR TRAINING AND EXECUTION OF IMPROVED LEARNING SYSTEMS FOR IDENTIFICATION OF COMPONENTS IN TIME-BASED DATA STREAMS | VANCHY JR, MICHAEL J | — |
| 18917709 | Computer Vision Learning System | RUSH, ERIC | — |
| Art Unit | Apps |
|---|---|
| 2677 | 2 |
| 2666 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19093703 | METHODS AND SYSTEMS FOR EXECUTION OF IMPROVED LEARNING SYSTEMS FOR IDENTIFICATION OF RULES COMPLIANCE BY COMPONENTS IN TIME-BASED DATA STREAMS | RUSH, ERIC | 2677 | §103 | Non-Final OA | 37d overdue | Pending | Mar 28, 2025 |
| 19011538 | METHODS AND SYSTEMS FOR TRAINING AND EXECUTION OF IMPROVED LEARNING SYSTEMS FOR IDENTIFICATION OF COMPONENTS IN TIME-BASED DATA STREAMS | VANCHY JR, MICHAEL J | 2666 | §103§112 | Non-Final OA | — | Pending | Jan 06, 2025 |
| 18917709 | Computer Vision Learning System | RUSH, ERIC | 2677 | §102§103§112Other | Non-Final OA | — | Pending | Oct 16, 2024 |
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Start Free TrialLeela AI Inc. has 3 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Eric Rush has the most, with 2 of Leela AI Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
