Prosecution Insights
Last updated: October 02, 2026

Examiner: CHAWAN, VIJAY B

Tech Center 3700 • Art Units: 2626 2653 2654 2658 3792

This examiner grants 88% of resolved cases

Analysis

Vijay B. Chawan, working in Tech Center 3700 and Art Unit 2626, has resolved 907 cases. The examiner maintains a high allowance rate of 87.9%. This high frequency of grants is paired with a median days to allowance of 938. For practitioners, this combination suggests an efficient and relatively favorable prosecution path. The 938-day timeline is relatively quick for cases handled in Tech Center 3700.

The data shows an interview lift of 11.8%. While the baseline allowance rate is already 87.9%, the 11.8% lift indicates that interviews still provide a marginal benefit. Engaging with the examiner may help in reaching the 938-day median allowance more reliably. With 907 resolved cases, these statistics represent a very stable performance profile in Art Unit 2626. The 11.8% lift suggests that direct dialogue can assist in resolving any remaining technical issues.

Applicants should note that the 87.9% allowance rate makes this examiner one of the more approachable in the unit. The 11.8% interview lift can be used as a tactical tool when necessary. The 938-day median to allowance is a positive sign for applicants seeking timely patent protection. Overall, the 907 resolved cases suggest a predictable and high-allowance environment for those filing in Art Unit 2626.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

87.9%
Allow Rate
+17.9% vs TC avg
914
Total Applications
+11.8%
Interview Lift
938
Avg Prosecution Days
Based on 907 resolved cases, 2023–2026

Rejection Statute Breakdown

21.7%
§101 Eligibility
34.4%
§102 Novelty
14.4%
§103 Obviousness
8.7%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
19096156 DYNAMICALLY DETERMINING WHETHER TO PERFORM CANDIDATE AUTOMATED ASSISTANT ACTION DETERMINED FROM SPOKEN UTTERANCE Non-Final OA GOOGLE LLC
19055080 Speech Recognition Using Active Acoustic Sensing Non-Final OA Google LLC
19001061 LANGUAGE MODEL BIASING SYSTEM Non-Final OA Google LLC
18982484 SYSTEMS AND METHODS FOR TRAINING A MODEL TO DETERMINE WHETHER A QUERY WITH MULTIPLE SEGMENTS COMPRISES MULTIPLE DISTINCT COMMANDS OR A COMBINED COMMAND Non-Final OA Adeia Guides Inc.
18417105 USING LARGE LANGUAGE MODELS TO UPDATE DATA IN MAPPING SYSTEMS AND APPLICATIONS Non-Final OA Nvidia Corporation
18978755 Systems and Methods for Analyzing and Condensing Audio Information Relating to an Encounter Non-Final OA OPTUM, INC.

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