Technology areas: Computing & Software • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
Direct Cursus Technology L L C currently has 4 pending office actions within the Computing & Software technology area. These actions are spread across 4 distinct art units, which points to a highly diversified portfolio that touches on several different aspects of computing technology. Because each of the 4 pending office actions is located in a different art unit, the company must navigate a wide range of technical guidelines and examination cultures simultaneously.
The prosecution involves 4 distinct examiners, meaning that every pending application is being reviewed by a different individual. LEE, MICHAEL CHRISTOPHER is listed as the busiest examiner, though he is responsible for only 1 pending office action. This indicates a completely decentralized prosecution environment where no single examiner's decisions will dictate the fate of the entire portfolio. With 4 distinct examiners and 4 distinct art units involved, the company must employ a highly individualized strategy for each of its 4 pending office actions. Success in the Computing & Software sector for this entity will depend on the ability to provide specialized technical arguments that satisfy the unique requirements of each examiner and art unit involved.
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 |
|---|---|
| §101 only | 1 (25%) |
| §101 + other | 1 (25%) |
| §103 only | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| LEE, MICHAEL CHRISTOPHER | 1 | 64.0% | +25.5% |
| VORTMAN, ANATOLY | 1 | 69.9% | +13.8% |
| MINOR, AYANNA YVETTE | 1 | 19.0% | +23.2% |
| SIPPEL, MOLLY CLARKE | 1 | 50.0% | +25.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18669758 | METHOD AND A SYSTEM FOR TRAINING A CHATBOT SYSTEM | LEE, MICHAEL CHRISTOPHER | — |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | — |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18630483 | ROBOTIC VEHICLE FOR DELIVERING ITEMS | VORTMAN, ANATOLY | 71d |
| 18669758 | METHOD AND A SYSTEM FOR TRAINING A CHATBOT SYSTEM | LEE, MICHAEL CHRISTOPHER | — |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | — |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | — |
| Art Unit | Apps |
|---|---|
| 2128 | 1 |
| 2841 | 1 |
| 3624 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18669758 | METHOD AND A SYSTEM FOR TRAINING A CHATBOT SYSTEM | LEE, MICHAEL CHRISTOPHER | 2128 | §103§112 | Non-Final OA | — | Pending | May 21, 2024 |
| 18630483 | ROBOTIC VEHICLE FOR DELIVERING ITEMS | VORTMAN, ANATOLY | 2841 | §103 | Non-Final OA | 71d | Pending | Apr 09, 2024 |
| 18394988 | SYSTEM AND A METHOD OF GENERATING A TRAINING SET OF DATA FOR TRAINING A MACHINE-LEARNING ALGORITHM | MINOR, AYANNA YVETTE | 3624 | §101 | Non-Final OA | — | Pending | Dec 22, 2023 |
| 18395024 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) | SIPPEL, MOLLY CLARKE | 2122 | §101§112 | Non-Final OA | — | Pending | Dec 22, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialDirect Cursus Technology L L C has 4 pending office actions as of October 2026, spread across 4 art units and 4 examiners.
Michael Christopher Lee has the most, with 1 of Direct Cursus Technology L L C's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
