Prosecution Insights
Last updated: August 14, 2026

Soundhound AI Ip LLC

9 pending office actions • 6 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days

Portfolio Summary

9
Total Pending OAs
5
Non-Final OAs
4
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
2
Due this month
2
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 (2)Due ≤ 60 days (2)

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 (67%)
2
Medium (22%)
1
Easy (11%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other4 (44%)
§103 only2 (22%)
Double-patenting only1 (11%)
Multi-statute (no §101)2 (22%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
11% of docket
6
Communications
67% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
11% of docket
1
Business / Other
11% 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
CIVAN, ETHAN D 1 68.5% +29.0%
SERROU, ABDELALI 1 74.4% +30.1%
MAY, ROBERT F 1 74.2% +31.3%
PULLIAS, JESSE SCOTT 1 82.6% +12.7%
AGAHI, DARIOUSH 1 84.4% +29.9%
SCHMIEDER, NICOLE A K 1 67.8% +33.6%
SERRAGUARD, SEAN ERIN 1 68.4% +34.9%
SITTNER, MICHAEL J 1 11.1% +14.7%
ARMSTRONG, ANGELA A 1 74.0% +8.4%

Quick Wins (2)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18778301 SYSTEM AND METHOD FOR VOICE MORPHING IN A DATA ANNOTATOR TOOL PULLIAS, JESSE SCOTT 49d
18771489 SERVER SUPPORTED RECOGNITION OF WAKE PHRASES AGAHI, DARIOUSH

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
17580289 Text-to-Speech Adapted by Machine Learning ARMSTRONG, ANGELA A 72d overdue
18783423 AUTOMATIC LEARNING OF ENTITIES, WORDS, PRONUNCIATIONS, AND PARTS OF SPEECH SERROU, ABDELALI 16d
18780970 MACHINE LEARNING SYSTEM FOR DIGITAL ASSISTANTS MAY, ROBERT F 28d
18666627 DYNAMIC PARALLEL NESTED LLM PROMPTS WITH STREAMING ACTIONS SCHMIEDER, NICOLE A K 35d
18461212 NEURAL SPEECH-TO-MEANING SERRAGUARD, SEAN ERIN
18356659 ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE SITTNER, MICHAEL J

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
18783423 AUTOMATIC LEARNING OF ENTITIES, WORDS, PRONUNCIATIONS, AND PARTS OF SPEECH SERROU, ABDELALI 16d
18780970 MACHINE LEARNING SYSTEM FOR DIGITAL ASSISTANTS MAY, ROBERT F 28d
18666627 DYNAMIC PARALLEL NESTED LLM PROMPTS WITH STREAMING ACTIONS SCHMIEDER, NICOLE A K 35d
18778301 SYSTEM AND METHOD FOR VOICE MORPHING IN A DATA ANNOTATOR TOOL PULLIAS, JESSE SCOTT 49d
19192220 METHOD AND SYSTEM FOR CONTROLLING A GRAPHICAL USER INTERFACE BY TELEPHONE CIVAN, ETHAN D
18771489 SERVER SUPPORTED RECOGNITION OF WAKE PHRASES AGAHI, DARIOUSH
18461212 NEURAL SPEECH-TO-MEANING SERRAGUARD, SEAN ERIN
18356659 ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE SITTNER, MICHAEL J

Top Art Units

Art UnitApps
2659 3
2154 1
2655 1
2656 1
2657 1
3621 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19192220 METHOD AND SYSTEM FOR CONTROLLING A GRAPHICAL USER INTERFACE BY TELEPHONE CIVAN, ETHAN D DP Non-Final OA Pending Apr 28, 2025
18783423 AUTOMATIC LEARNING OF ENTITIES, WORDS, PRONUNCIATIONS, AND PARTS OF SPEECH SERROU, ABDELALI 2659 §101§103Other Non-Final OA 16d Pending Jul 25, 2024
18780970 MACHINE LEARNING SYSTEM FOR DIGITAL ASSISTANTS MAY, ROBERT F 2154 §101§103 Non-Final OA 28d Pending Jul 23, 2024
18778301 SYSTEM AND METHOD FOR VOICE MORPHING IN A DATA ANNOTATOR TOOL PULLIAS, JESSE SCOTT 2655 §103Other Non-Final OA 49d Pending Jul 19, 2024
18771489 SERVER SUPPORTED RECOGNITION OF WAKE PHRASES AGAHI, DARIOUSH 2656 §103 Final Rejection Pending Jul 12, 2024
18666627 DYNAMIC PARALLEL NESTED LLM PROMPTS WITH STREAMING ACTIONS SCHMIEDER, NICOLE A K 2659 §101§102§103§112 Non-Final OA 35d Pending May 16, 2024
18461212 NEURAL SPEECH-TO-MEANING SERRAGUARD, SEAN ERIN 2657 §103§112 Final Rejection Pending Sep 05, 2023
18356659 ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE SITTNER, MICHAEL J 3621 §101§103§112 Final Rejection Pending Jul 21, 2023
17580289 Text-to-Speech Adapted by Machine Learning ARMSTRONG, ANGELA A 2659 §103§112 Final Rejection 72d overdue Pending Jan 20, 2022

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