Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Epiq Ediscovery Solutions Inc. has 2 pending office actions in Communications. The matters are assigned to 2 examiners and 2 art units.
SERROU, ABDELALI is the busiest examiner, with 1 pending matter. The separate assignments support coordinated technology descriptions but require individualized responses to each examination record.
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 + other | 1 (50%) |
| §102 only | 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 |
|---|---|---|---|
| SERROU, ABDELALI | 1 | 74.4% | +29.6% |
| ZHANG, DUAN | 1 | 61.2% | +18.9% |
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 |
|---|---|---|---|
| 19005802 | METHOD FOR RECOMMENDING AND IMPLEMENTING COMMUNICATION OPTIMIZATIONS | SERROU, ABDELALI | — |
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 |
|---|---|---|---|
| 19005802 | METHOD FOR RECOMMENDING AND IMPLEMENTING COMMUNICATION OPTIMIZATIONS | SERROU, ABDELALI | — |
| 18667896 | SYSTEM AND METHOD FOR TEACHING MACHINE LEARNING MODELS TO RECOGNIZE CONCEPTS IN MULTIMEDIA DOCUMENTS THROUGH NATURAL LANGUAGE INTERACTION AND MIXED-INITIATIVE LEARNING | ZHANG, DUAN | — |
| Art Unit | Apps |
|---|---|
| 2659 | 1 |
| 3699 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19005802 | METHOD FOR RECOMMENDING AND IMPLEMENTING COMMUNICATION OPTIMIZATIONS | SERROU, ABDELALI | 2659 | §101§102§103 | Non-Final OA | — | Pending | Dec 30, 2024 |
| 18667896 | SYSTEM AND METHOD FOR TEACHING MACHINE LEARNING MODELS TO RECOGNIZE CONCEPTS IN MULTIMEDIA DOCUMENTS THROUGH NATURAL LANGUAGE INTERACTION AND MIXED-INITIATIVE LEARNING | ZHANG, DUAN | 3699 | §102 | Non-Final OA | — | Pending | May 17, 2024 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialEpiq Ediscovery Solutions Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Abdelali Serrou has the most, with 1 of Epiq Ediscovery Solutions Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
