Prosecution Insights
Last updated: August 14, 2026

DataRobot Inc.

7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days

Portfolio Summary

7
Total Pending OAs
6
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

1
Overdue
0
Due this week
4
Due this month
0
Due in next 60 days
0
Due later

Deadline Fire Line

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.

-30dToday30d60d90d120d
Overdue (1)Due ≤ 30 days (4)

Case Difficulty Mix

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.

6
Hard (86%)
0
Medium (0%)
1
Easy (14%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (14%)
§101 + other4 (57%)
§112 only1 (14%)
Multi-statute (no §101)1 (14%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
5
Information Tech
71% of docket
0
Communications
0% of docket
1
Semiconductors
14% of docket
0
Mechanical / Eng
0% of docket
1
Business / Other
14% of docket

Time-on-OA Estimate

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.

70 h
Manual time on pending OAs
14 h
Time saved (low, 20%)
24 h
Time saved (mid, 35%)
0.6 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
VINCENT, DAVID ROBERT 1 80.5% +4.4%
DO, CHAT C 1 42.9% +8.9%
LE, JOHN H 1 87.9% +7.0%
NGUYEN, MAIKHANH 1 87.2% +28.6%
LU, HWEI-MIN 1 62.7% +39.6%
BREEN, JAKE TIMOTHY 1 64.7% +66.7%
ALSHAHARI, SADIK AHMED 1 37.8% +41.3%

Hard Cases (6)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.

App #TitleExaminerDue in
18506380 CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS DO, CHAT C 13d
18506415 SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE LE, JOHN H 13d
18223761 AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT NGUYEN, MAIKHANH 19d
17942458 SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING BREEN, JAKE TIMOTHY 21d
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

Interview Candidates (4)

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 #TitleExaminerDue in
18204108 MACHINE LEARNING MODEL SEARCH USING META DATA LU, HWEI-MIN 10d overdue
18223761 AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT NGUYEN, MAIKHANH 19d
17942458 SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING BREEN, JAKE TIMOTHY 21d
17693127 SYSTEMS AND METHODS FOR TIME SERIES MODELING ALSHAHARI, SADIK AHMED

Top Art Units

Art UnitApps
2193 1
2857 1
2144 1
2142 1
2143 1
2121 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18607346 SYSTEMS AND METHODS FOR GENERATING DESCRIPTIONS OF DATA SETS AND/OR MODELS VINCENT, DAVID ROBERT §101 Non-Final OA Pending Mar 15, 2024
18506380 CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS DO, CHAT C 2193 §103§112 Non-Final OA 13d Pending Nov 10, 2023
18506415 SYSTEMS AND METHODS FOR VISUALIZING MACHINE INTELLIGENCE LE, JOHN H 2857 §101§103 Non-Final OA 13d Pending Nov 10, 2023
18223761 AUTOMATIC SMOOTHING AND RE-BINNING FOR MACHINE LEARNING MODEL OUTPUT NGUYEN, MAIKHANH 2144 §101§103 Non-Final OA 19d Pending Jul 19, 2023
18204108 MACHINE LEARNING MODEL SEARCH USING META DATA LU, HWEI-MIN 2142 §112 Non-Final OA 10d overdue Pending May 31, 2023
17942458 SYSTEMS AND METHODS OF GENERATING AND VALIDATING TIME-SERIES FEATURES USING MACHINE LEARNING BREEN, JAKE TIMOTHY 2143 §101§103 Final Rejection 21d Pending Sep 12, 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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