Technology area: Computing & Software
7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
DataRobot Inc. is actively managing 7 pending office actions within the Computing & Software technology area. The prosecution is highly distributed, with 7 distinct examiners each handling a single case. This one-to-one ratio between actions and examiners indicates that the company's patent applications are being reviewed by a diverse group of individuals at the patent office. Furthermore, the portfolio spans 6 distinct art units, suggesting that the software innovations are being categorized into several different specialized technical classifications.
The busiest examiner, PYO, MONICA M, is responsible for 1 pending office action, which reflects the even distribution across the 7 distinct examiners. With 7 pending office actions in total, the company faces a variety of examination perspectives. The high number of 6 distinct art units relative to the total number of actions implies that each application may be facing a unique set of technical challenges. Practitioners should be prepared to address a wide range of software-related patent issues across these 6 different art units.
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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%) |
| §112 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 |
|---|---|---|---|
| PYO, MONICA M | 1 | 82.9% | +35.3% |
| VINCENT, DAVID ROBERT | 1 | 80.4% | +4.0% |
| LE, JOHN H | 1 | 87.8% | +6.9% |
| DO, CHAT C | 1 | 44.0% | +12.4% |
| LU, HWEI-MIN | 1 | 63.3% | +40.2% |
| NGUYEN, NHAT HUY T | 1 | 53.8% | +23.4% |
| ALSHAHARI, SADIK AHMED | 1 | 37.0% | +39.0% |
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 |
|---|---|---|---|
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
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 |
|---|---|---|---|
| 18506415 | SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE | LE, JOHN H | 13d |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 13d |
| 18607346 | SYSTEMS AND METHODS FOR GENERATING DESCRIPTIONS OF DATA SETS AND/OR MODELS | VINCENT, DAVID ROBERT | — |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | — |
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 |
|---|---|---|---|
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 32d overdue |
| 18204108 | MACHINE LEARNING MODEL SEARCH USING META DATA | LU, HWEI-MIN | 10d overdue |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 13d |
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | — |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2857 | 1 |
| 2193 | 1 |
| 2142 | 1 |
| 2147 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 2161 | §103 | Final Rejection | 28d | Pending | Aug 12, 2024 |
| 18607346 | SYSTEMS AND METHODS FOR GENERATING DESCRIPTIONS OF DATA SETS AND/OR MODELS | VINCENT, DAVID ROBERT | — | §101 | Non-Final OA | — | Pending | Mar 15, 2024 |
| 18506415 | SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE | LE, JOHN H | 2857 | §101§103 | Non-Final OA | 13d | Pending | Nov 10, 2023 |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 2193 | §103§112 | Non-Final OA | 13d | Pending | Nov 10, 2023 |
| 18204108 | MACHINE LEARNING MODEL SEARCH USING META DATA | LU, HWEI-MIN | 2142 | §112 | Non-Final OA | 10d overdue | Pending | May 31, 2023 |
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 2147 | §103 | Final Rejection | 32d overdue | Pending | Dec 09, 2022 |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | 2121 | §101§102§103 | Non-Final OA | — | Pending | Mar 11, 2022 |
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