Prosecution Insights
Last updated: August 18, 2026

Databricks Inc.

9 pending office actions • 7 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 38 patents granted in the last 365 days

Portfolio Summary

9
Total Pending OAs
8
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

2
Overdue
0
Due this week
1
Due this month
0
Due in next 60 days
1
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. 4 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (2)Due ≤ 30 days (1)Due later (1)

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.

4
Hard (44%)
5
Medium (56%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (11%)
§101 + other2 (22%)
§103 only5 (56%)
Multi-statute (no §101)1 (11%)

Industry Mix

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

0
Life Sciences
0% of docket
6
Information Tech
67% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
11% of docket
2
Business / Other
22% 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.

90 h
Manual time on pending OAs
18 h
Time saved (low, 20%)
31 h
Time saved (mid, 35%)
0.8 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
GORTAYO, DANGELINO N 1 78.7% +29.4%
ALGIBHAH, MAHER N 1 87.8% +19.4%
GADALLA, HANY S 1 72.2% +37.2%
HUANG, BRYAN PAI SONG 1 84.0% +3.9%
SHAH, VAISHALI 1 56.9% +55.2%
ALLEN, NICHOLAS E 1 75.7% +14.5%
BOYCE, ANDRE D 1 36.0% +18.8%
TSAI, JAMES T 1 62.5% +56.9%
TAN, DAVID H 1 32.1% +17.1%

Hard Cases (4)

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 #TitleExaminerDue in
18612603 MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS BOYCE, ANDRE D 31d overdue
19030032 Query Watchdog HUANG, BRYAN PAI SONG 13d
19249957 MULTI-CLUSTER QUERY RESULT CACHING ALGIBHAH, MAHER N 84d
18745847 STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS ALLEN, NICHOLAS E

Interview Candidates (8)

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 8 ordered by deadline are shown.

App #TitleExaminerDue in
17587793 OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION TAN, DAVID H 38d overdue
18612603 MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS BOYCE, ANDRE D 31d overdue
19249957 MULTI-CLUSTER QUERY RESULT CACHING ALGIBHAH, MAHER N 84d
19275107 FETCHING QUERY RESULTS THROUGH CLOUD OBJECT STORES GORTAYO, DANGELINO N
19072814 Managed Metastore GADALLA, HANY S
18991864 MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE SHAH, VAISHALI
18745847 STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS ALLEN, NICHOLAS E
18414270 TRAINING MACHINE-LEARNED TRANSFORMER ARCHITECTURES BY CLIPPING QUERIES, KEYS, AND VALUES TSAI, JAMES T

Top Art Units

Art UnitApps
2168 1
2161 1
2114 1
2156 1
2154 1
3623 1
2145 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19275107 FETCHING QUERY RESULTS THROUGH CLOUD OBJECT STORES GORTAYO, DANGELINO N 2168 §103Other Non-Final OA Pending Jul 21, 2025
19249957 MULTI-CLUSTER QUERY RESULT CACHING ALGIBHAH, MAHER N 2161 §101 Non-Final OA 84d Pending Jun 25, 2025
19072814 Managed Metastore GADALLA, HANY S §103 Non-Final OA Pending Mar 06, 2025
19030032 Query Watchdog HUANG, BRYAN PAI SONG 2114 §102§103§112Other Final Rejection 13d Pending Jan 17, 2025
18991864 MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE SHAH, VAISHALI 2156 §103 Non-Final OA Pending Dec 23, 2024
18745847 STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS ALLEN, NICHOLAS E 2154 §101§103§112 Non-Final OA Pending Jun 17, 2024
18612603 MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS BOYCE, ANDRE D 3623 §101§103§112 Non-Final OA 31d overdue Pending Mar 21, 2024
18414270 TRAINING MACHINE-LEARNED TRANSFORMER ARCHITECTURES BY CLIPPING QUERIES, KEYS, AND VALUES TSAI, JAMES T §103 Non-Final OA Pending Jan 16, 2024
17587793 OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION TAN, DAVID H 2145 §103 Non-Final OA 38d overdue Pending Jan 28, 2022

Managing Databricks Inc.'s Patent Portfolio?

IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.

Start Free Trial

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month