Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19040351 | FOUNDATION AI MODEL FOR IMPROVING AUDIO QUALITY AND ENHANCING AUDIO CHARACTERISTICS | January 2025 | October 2025 | Allow | 8 | 1 | 1 | No | No |
| 18940536 | LOW BITRATE AUDIO ENCODING/DECODING SCHEME HAVING CASCADED SWITCHES | November 2024 | April 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18940575 | LOW BITRATE AUDIO ENCODING/DECODING SCHEME HAVING CASCADED SWITCHES | November 2024 | July 2025 | Allow | 8 | 2 | 0 | No | No |
| 18940483 | LOW BITRATE AUDIO ENCODING/DECODING SCHEME HAVING CASCADED SWITCHES | November 2024 | May 2025 | Allow | 6 | 1 | 0 | No | No |
| 18934983 | Audio Compression With Generative Adversarial Networks | November 2024 | April 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18935039 | ADVANCED MAXIMAL ENTROPY MEDIA COMPRESSION PROCESSING | November 2024 | April 2025 | Allow | 5 | 1 | 0 | No | No |
| 18935013 | BAYESIAN GRAPH-BASED RETRIEVAL-AUGMENTED GENERATION WITH SYNTHETIC FEEDBACK LOOP (BG-RAG-SFL) | November 2024 | June 2025 | Allow | 7 | 1 | 1 | Yes | No |
| 18934967 | DETERMINISTICALLY DEFINED, DIFFERENTIABLE, NEUROMORPHICALLY-INFORMED I/O-MAPPED NEURAL NETWORK | November 2024 | October 2025 | Allow | 12 | 2 | 1 | Yes | No |
| 18787514 | FOUNDATIONAL AI MODEL FOR CAPTURING AND ENCODING AUDIO WITH ARTIFICIAL INTELLIGENCE SEMANTIC ANALYSIS AND WITHOUT LOW PASS OR HIGH PASS FILTERS | July 2024 | November 2024 | Allow | 4 | 0 | 1 | No | No |
| 18656714 | QUESTION ANSWERING WITH FIRST AND SECOND ARTIFICIAL INTELLIGENCE MODELS BASED ON DOCUMENT WITH UPDATED QUESTION | May 2024 | February 2025 | Allow | 9 | 1 | 0 | No | No |
| 18628556 | AUDIO ENTROPY ENCODER/DECODER WITH DIFFERENT SPECTRAL RESOLUTIONS AND TRANSFORM LENGTHS AND UPSAMPLING AND/OR DOWNSAMPLING | April 2024 | December 2024 | Allow | 8 | 2 | 0 | No | No |
| 18628632 | AUDIO ENTROPY ENCODER/DECODER WITH DIFFERENT SPECTRAL RESOLUTIONS AND TRANSFORM LENGTHS AND UPSAMPLING AND/OR DOWNSAMPLING | April 2024 | October 2024 | Allow | 7 | 1 | 0 | No | No |
| 18628500 | AUDIO ENTROPY ENCODER/DECODER WITH DIFFERENT SPECTRAL RESOLUTIONS AND TRANSFORM LENGTHS AND UPSAMPLING AND/OR DOWNSAMPLING | April 2024 | November 2024 | Allow | 7 | 2 | 0 | Yes | No |
| 18628590 | AUDIO ENTROPY ENCODER/DECODER WITH DIFFERENT SPECTRAL RESOLUTIONS AND TRANSFORM LENGTHS AND UPSAMPLING AND/OR DOWNSAMPLING | April 2024 | October 2024 | Allow | 6 | 1 | 0 | No | No |
| 18425666 | CLASSIFICATION CODE PARSER | January 2024 | February 2026 | Allow | 25 | 0 | 0 | No | No |
| 18420565 | SPECIALIZED TOKEN PREDICTION BY A LARGE LANGUAGE MODEL TO PROMPT EXTERNAL INTERVENTION | January 2024 | March 2026 | Allow | 25 | 0 | 1 | No | No |
| 18406752 | GENERATING A COMPOSITE RESPONSE TO NATURAL LANGAUGE INPUT USING A TRAINED GENERATIVE MODEL AND BASED ON RESPONSIVE CONTENT FROM DISPARATE CONTENT AGENTS | January 2024 | July 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18394140 | NEXT AST BRANCH PREDICTION AND NEXT TOKEN PREDICTION JOINT PRE-TRAINING TASK FOR CODE GENERATIVE MODELS | December 2023 | November 2025 | Allow | 22 | 0 | 0 | No | No |
| 18539604 | DETERMINING A CURRENT SYSTEM UTTERANCE WITH CONNECTIVE AND CONTENT PORTIONS FROM A USER UTTERANCE | December 2023 | April 2025 | Allow | 17 | 2 | 0 | No | No |
| 18538876 | ENFORCING DATA OWNERSHIP AT GATEWAY REGISTRATION USING NATURAL LANGUAGE PROCESSING | December 2023 | February 2026 | Allow | 26 | 3 | 0 | Yes | No |
| 18532969 | Natural Language Processing With Contextual Data Associated With Content Displayed By a Computing Device | December 2023 | November 2025 | Allow | 23 | 3 | 0 | Yes | No |
| 18289903 | SYNONYM DETERMINATION SYSTEM AND SYNONYM DETERMINATION METHOD | November 2023 | February 2026 | Abandon | 27 | 1 | 0 | No | No |
| 18381142 | TRANSIENT DETECTION WITH HANGOVER INDICATOR FOR ENCODING AN AUDIO SIGNAL | October 2023 | September 2024 | Allow | 11 | 1 | 0 | No | No |
| 18286287 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM | October 2023 | October 2025 | Allow | 25 | 1 | 0 | No | No |
| 18480166 | DEEP LEARNING FOR MULTIMEDIA CLASSIFICATION | October 2023 | July 2025 | Allow | 21 | 0 | 0 | No | No |
| 18373911 | SYSTEMS AND METHODS FOR ALGORITHMICALLY ORCHESTRATING CONVERSATIONAL DIALOGUE TRANSITIONS WITHIN AN AUTOMATED CONVERSATIONAL SYSTEM | September 2023 | February 2024 | Allow | 4 | 1 | 1 | No | No |
| 18471538 | METHOD OF DOMAIN-ADAPTING LARGE-CAPACITY PRE-TRAINED LANGUAGE MODEL USING SEMANTIC CHUNK DYNAMIC WEIGHT MASKING | September 2023 | October 2025 | Allow | 25 | 0 | 0 | No | No |
| 18464422 | Training a Tokenizer Using Altered Text Data | September 2023 | February 2026 | Allow | 29 | 2 | 1 | Yes | No |
| 18451067 | LOW BITRATE AUDIO ENCODING/DECODING SCHEME HAVING CASCADED SWITCHES | August 2023 | January 2026 | Allow | 29 | 1 | 0 | No | No |
| 18365535 | DETERMINING CAUSALITY BETWEEN FACTORS FOR TARGET OBJECT BY ANALYZING TEXT | August 2023 | January 2026 | Allow | 30 | 1 | 0 | No | No |
| 18225990 | BLOCKWISE CONTROLLED DECODING OF NATURAL LANGUAGE (NL) BASED OUTPUT GENERATED USING A LARGE LANGUAGE MODEL (LLM) TO REDUCE LATENCY IN RENDERING THEREOF | July 2023 | March 2026 | Allow | 31 | 1 | 1 | Yes | No |
| 18272516 | TEXT GENERATION INCLUDING DE-DUPLICATION OF DECODED WORD INFORMATION TO SPLICE TARGET WORD INFORMATION INTO AN INFORMATION SEQUENCE | July 2023 | February 2026 | Allow | 31 | 1 | 0 | No | No |
| 18219338 | METHOD AND SYSTEM FOR IMPLEMENTING A TOOL FOR DETECTING BAD ACTORS THAT UNFAIRLY PROFIT FROM CONFIDENTIAL INFORMATION | July 2023 | October 2025 | Allow | 28 | 1 | 0 | No | No |
| 18218385 | TECHNIQUES FOR AUGMENTING TRAINING DATA FOR AGGREGATION AND SORTING DATABASE OPERATIONS IN A NATURAL LANGUAGE TO DATABASE QUERY SYSTEM | July 2023 | October 2025 | Allow | 27 | 0 | 0 | No | No |
| 18217351 | MONITORING COMMUNICATION BY A BOT TO DETERMINE A HUMAN OR AN ADDITIONAL BOT | June 2023 | August 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18336831 | CONTEXTUAL TITLES BASED ON TEMPORAL PROXIMITY AND SHARED TOPICS OF RELATED COMMUNICATION ITEMS WITH SENSITIVITY POLICY | June 2023 | December 2025 | Allow | 30 | 1 | 1 | Yes | No |
| 18334853 | Methods, Encoder And Decoder For Linear Predictive Encoding And Decoding Of Sound Signals Upon Transition Between Frames Having Different Sampling Rates | June 2023 | May 2025 | Allow | 23 | 0 | 0 | No | No |
| 18332279 | DEVICE AND METHOD FOR REVIEWING LITERATURE BY USING LATENT DIRICHLET ALLOCATION | June 2023 | October 2025 | Allow | 28 | 1 | 0 | No | No |
| 18315391 | SYSTEMS AND METHODS FOR GENERATING TEXT DESCRIPTIVE OF DIGITAL IMAGES | May 2023 | February 2026 | Allow | 33 | 3 | 0 | Yes | No |
| 18310363 | SYSTEMS, METHODS, AND STORAGE MEDIA FOR PROVIDING AN INTERFACE FOR TEXTUAL EDITING THROUGH SPEECH | May 2023 | December 2025 | Allow | 32 | 3 | 0 | Yes | No |
| 18301191 | AUDIO ENTROPY ENCODER/DECODER WITH CODING CONTEXT AND COEFFICIENT SELECTION | April 2023 | March 2024 | Allow | 11 | 2 | 0 | No | No |
| 18301194 | AUDIO ENTROPY ENCODER/DECODER WITH ARITHMETIC CODING AND CODING CONTEXT | April 2023 | November 2023 | Allow | 8 | 1 | 0 | No | No |
| 18298044 | Methods and Apparatus to Segment Audio and Determine Audio Segment Similarities | April 2023 | September 2024 | Allow | 17 | 0 | 0 | No | No |
| 18132661 | METHOD AND SYSTEM FOR MAINTAINING LATENT DIRICHLET ALLOCATION MODEL ACCURACY | April 2023 | August 2025 | Allow | 28 | 1 | 0 | No | No |
| 17296821 | TRAINING RECOMMENDATION MODEL BASED ON TOPIC MODEL AND WORD IMPORTANCE | April 2023 | August 2025 | Allow | 50 | 1 | 0 | No | No |
| 18026087 | DATA STRUCTURE OF LANGUAGE RESOURCE AND DEVICE, METHOD AND PROGRAM FOR SUPPORTING SPEECH UNDERSTANDING USING THE SAME | March 2023 | October 2025 | Abandon | 31 | 1 | 0 | No | No |
| 18117562 | DYNAMIC TEXT MESSAGE PROCESSING IMPLEMENTING ENDPOINT COMMUNICATION CHANNEL SELECTION | March 2023 | February 2025 | Allow | 24 | 1 | 0 | Yes | No |
| 18114593 | SYSTEM AND METHOD FOR ADAPTING SENTIMENT ANALYSIS TO USER PROFILES TO REDUCE BIAS | February 2023 | February 2025 | Abandon | 24 | 2 | 0 | No | No |
| 18171204 | EFFICIENT EMPIRICAL DETERMINATION, COMPUTATION, AND USE OF ACOUSTIC CONFUSABILITY MEASURES | February 2023 | April 2024 | Allow | 14 | 0 | 0 | No | No |
| 18166158 | CLASSIFICATION CODE PARSER FOR IDENTIFYING A CLASSIFICATION CODE TO A TEXT | February 2023 | September 2023 | Allow | 7 | 2 | 0 | No | No |
| 18160185 | OBJECT DETECTOR TRAINED VIA SELF-SUPERVISED TRAINING ON RAW AND UNLABELED VIDEOS | January 2023 | September 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 18150062 | PREDICTIVE RESOLUTIONS FOR TICKETS USING SEMI-SUPERVISED MACHINE LEARNING | January 2023 | November 2023 | Abandon | 11 | 1 | 0 | No | No |
| 18089684 | Modeling Ambiguity in Neural Machine Translation | December 2022 | April 2025 | Allow | 28 | 0 | 0 | Yes | No |
| 18080872 | GENERATING SEMANTIC TRIPLETS FROM UNSTRUCTURED TEXT USING NAMED ENTITIES | December 2022 | June 2025 | Allow | 30 | 2 | 0 | Yes | No |
| 18076039 | METHOD FOR DETERMINING CLASSIFICATION OF A VEHICLE DOMAIN OR AN EXTERNAL DOMAIN BASED ON USER SPEECH AND A SPEECH RECOGNITION SYSTEM FOR A VEHICLE | December 2022 | April 2025 | Allow | 29 | 1 | 0 | No | No |
| 18072038 | Audio Coding of Tonal Components with a Spectrum Reservation Flag | November 2022 | May 2024 | Allow | 18 | 0 | 0 | Yes | No |
| 18072245 | AUDIO CODING WITH TONAL COMPONENT SCREENING IN BANDWIDTH EXTENSION | November 2022 | July 2024 | Allow | 19 | 1 | 0 | No | No |
| 17925732 | CONVERSATION INTENTION REAL-TIME ANALYSIS METHOD | November 2022 | March 2025 | Allow | 28 | 0 | 0 | No | No |
| 17987567 | AUTOMATED THERAPY AND BIOACTIVE DISCOVERY AND DELIVERY FROM SEMANTIC NETWORK WITH TASTE QUALITY | November 2022 | March 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 18045893 | SYSTEMS AND METHODS FOR RECONSTRUCTING VOICE PACKETS USING NATURAL LANGUAGE GENERATION DURING SIGNAL LOSS | October 2022 | March 2025 | Allow | 29 | 1 | 0 | Yes | No |
| 17916842 | VOICE COMMAND SYSTEM FOR MANAGING TELECOMMUNICATIONS CONNECTIONS AMONG TELECOMMUNICATIONS EQUIPMENT | October 2022 | October 2025 | Abandon | 37 | 2 | 0 | No | No |
| 17936844 | Determination of Sleep Parameters in an Environment with Uncontrolled Noise Sources | September 2022 | December 2023 | Allow | 15 | 1 | 1 | Yes | No |
| 17954900 | EXTRACTING TRIPLETS FROM TEXT WITH RELATIONSHIP PREDICTION MATRIX, ENTITY PREDICTION MATRIX, AND ALIGNMENT MATRIX | September 2022 | February 2025 | Allow | 29 | 1 | 0 | No | No |
| 17908826 | NOTIFICATION TEXT AS VOICE OUTPUT TO A DRIVER WITH INTENT AND AIMING INFORMATION | September 2022 | October 2025 | Abandon | 38 | 2 | 0 | Yes | No |
| 17901269 | Authenticating a User Profile with Devices | September 2022 | November 2024 | Allow | 27 | 3 | 0 | No | No |
| 17891258 | CLASSIFICATION OF COMPLIANCE TEXT DATA WITH FEW SHOT NATURAL LANGUAGE MODEL | August 2022 | February 2026 | Allow | 42 | 4 | 0 | No | No |
| 17882447 | METHODS AND APPARATUS FOR GENERATING AUDIO FINGERPRINTS FOR CALLS USING POWER SPECTRAL DENSITY VALUES | August 2022 | November 2025 | Allow | 39 | 4 | 0 | No | No |
| 17795217 | AUDIO COMPENSATION WITH SOUND EFFECT CHARACTERISTIC CURVE TO ADJUST ABNORMAL FREQUENCY POINTS | July 2022 | February 2025 | Allow | 31 | 2 | 0 | No | No |
| 17850578 | RESPONDING TO A USER QUERY BASED ON CAPTURED IMAGES AND AUDIO | June 2022 | January 2025 | Abandon | 31 | 1 | 0 | No | No |
| 17848831 | TEXT-TO-SPEECH PROCESSING USING INPUT VOICE CHARACTERISTIC DATA | June 2022 | June 2025 | Abandon | 36 | 4 | 0 | Yes | No |
| 17846326 | VOICE COMMANDS FOR THE VISUALLY IMPAIRED | June 2022 | January 2024 | Allow | 19 | 1 | 0 | No | No |
| 17788052 | TEXT PROCESSING METHOD AND APPARATUS FOR ERROR CORRECTION OF A PLURALITY OF TYPES OF NON-WORDS AND REAL WORDS | June 2022 | January 2025 | Allow | 31 | 2 | 0 | No | No |
| 17837475 | CROSS-ATTENTION BETWEEN SPARSE EXTERNAL FEATURES AND CONTEXTUAL WORD EMBEDDINGS TO IMPROVE TEXT CLASSIFICATION | June 2022 | December 2024 | Allow | 30 | 2 | 0 | Yes | No |
| 17805191 | Method of Generating Conversation Information Using Examplar-Based Generation Model and Apparatus for the Same | June 2022 | July 2025 | Allow | 38 | 4 | 0 | Yes | No |
| 17804544 | PRE-WAKEWORD SPEECH PROCESSING WITH REVERSE AUTOMATIC SPEECH RECOGNITION | May 2022 | June 2025 | Allow | 36 | 1 | 1 | No | No |
| 17804143 | Domain-Agnostic Natural Language Processing Using Explainable Interpretation Feedback Models | May 2022 | November 2025 | Abandon | 41 | 4 | 0 | Yes | No |
| 17664260 | INCREASED ACCESSIBILITY OF SYNTHESIZED SPEECH BY REPLACEMENT OF DIFFICULTY TO UNDERSTAND WORDS | May 2022 | July 2025 | Allow | 38 | 3 | 0 | Yes | No |
| 17778299 | SOUND CROSSTALK SUPPRESSION DEVICE AND SOUND CROSSTALK SUPPRESSION METHOD | May 2022 | November 2024 | Allow | 30 | 2 | 0 | No | No |
| 17738742 | NATURAL LANGUAGE PROCESSING AND MACHINE-LEARNING FOR EVENT IMPACT ANALYSIS | May 2022 | March 2025 | Allow | 34 | 1 | 1 | Yes | No |
| 17731992 | NATURAL LANGUAGE PROCESSING TECHNIQUES USING HYBRID REASON CODE PREDICTION MACHINE LEARNING FRAMEWORKS | April 2022 | September 2024 | Allow | 28 | 1 | 0 | Yes | No |
| 17724349 | FACT CORRECTION OF NATURAL LANGUAGE SENTENCES USING DATA TABLES | April 2022 | October 2023 | Allow | 18 | 1 | 0 | Yes | No |
| 17770177 | DEEP SOURCE SEPARATION ARCHITECTURE | April 2022 | December 2025 | Allow | 44 | 4 | 0 | Yes | No |
| 17723969 | VARIATIONAL GRAPH AUTOENCODING FOR ABSTRACT MEANING REPRESENTATION COREFERENCE RESOLUTION | April 2022 | May 2025 | Allow | 37 | 4 | 0 | Yes | No |
| 17659612 | NATURAL LANGUAGE PROCESSING WITH CONTEXTUAL DATA REPRESENTING DISPLAYED CONTENT | April 2022 | July 2023 | Allow | 15 | 1 | 0 | No | No |
| 17652810 | AUDIOVISUAL CAPTURE AND SHARING FRAMEWORK WITH COORDINATED, USER-SELECTABLE AUDIO AND VIDEO EFFECTS FILTERS | February 2022 | November 2023 | Abandon | 21 | 1 | 0 | No | No |
| 17639317 | PRE-CONDITIONING AUDIO FOR ECHO CANCELLATION IN MACHINE PERCEPTION | February 2022 | May 2024 | Allow | 26 | 2 | 1 | No | No |
| 17587478 | SELECTIVELY GENERATING EXPANDED RESPONSES THAT GUIDE CONTINUANCE OF A HUMAN-TO-COMPUTER DIALOG | January 2022 | August 2023 | Allow | 19 | 1 | 1 | Yes | No |
| 17580951 | AUTOMATICALLY GENERATING CONTEXT-BASED ALTERNATIVE TEXT USING ARTIFICIAL INTELLIGENCE TECHNIQUES | January 2022 | October 2024 | Allow | 33 | 2 | 0 | Yes | No |
| 17574625 | DIGITAL AUDIO PROCESSING WITH EVEN AND ODD HARMONIC COMPONENT ADDITION | January 2022 | August 2023 | Allow | 19 | 1 | 0 | No | No |
| 17567897 | QUESTION ANSWERING WITH DEEP LEARNING AND CONFIGURATION SOURCE INFORMATION | January 2022 | December 2024 | Abandon | 35 | 2 | 0 | Yes | No |
| 17560425 | DETERMINING RESPONSE PRIORITY TO A REQUEST BASED ON IMPORTANCE AND AMOUNT OF METADATA | December 2021 | December 2024 | Abandon | 35 | 2 | 0 | No | No |
| 17543292 | FAR-FIELD EXTENSION OF DIGITAL ASSISTANT SERVICES FOR PROVIDING A NOTIFICATION OF AN EVENT TO A USER | December 2021 | August 2024 | Allow | 32 | 5 | 0 | Yes | No |
| 17526845 | DYNAMIC WORD CORRELATED TOPIC MACHINE LEARNING MODEL | November 2021 | March 2024 | Allow | 28 | 0 | 0 | No | No |
| 17526275 | Handling Variable Payload Lengths Which Are Based On Different AMR Audio Codec Rates | November 2021 | November 2024 | Abandon | 36 | 4 | 1 | No | No |
| 17511374 | GENERATING AUDIO FILES BASED ON USER GENERATED SCRIPTS AND VOICE COMPONENTS | October 2021 | June 2024 | Allow | 32 | 4 | 0 | Yes | No |
| 17509401 | TRANSLATING A MEDIA ASSET WITH VOCAL CHARACTERISTICS OF A SPEAKER | October 2021 | June 2023 | Allow | 20 | 2 | 0 | Yes | No |
| 17479912 | AUTOMATIC CONVERSION OF SPEECH INTO SONG, RAP OR OTHER AUDIBLE EXPRESSION HAVING TARGET METER OR RHYTHM | September 2021 | February 2024 | Allow | 29 | 2 | 0 | No | No |
| 17440219 | PHYSICAL EXAMINATION INFORMATION DISTRIBUTION TO DISTRIBUTION OBJECTS WITH WORKLOAD INFORMATION AND MATCHING MODEL | September 2021 | October 2024 | Allow | 37 | 1 | 0 | No | No |
| 17466105 | SYSTEM AND METHOD FOR AN AUTOMATIC SEARCH AND COMPARISON TOOL | September 2021 | January 2024 | Abandon | 28 | 1 | 0 | No | No |
| 17463917 | ENFORCING DATA OWNERSHIP AT GATEWAY REGISTRATION USING NATURAL LANGUAGE PROCESSING | September 2021 | August 2023 | Allow | 23 | 0 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner LERNER, MARTIN.
With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 37.5% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner LERNER, MARTIN works in Art Unit 2658 and has examined 123 patent applications in our dataset. With an allowance rate of 91.1%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 31 months.
Examiner LERNER, MARTIN's allowance rate of 91.1% places them in the 75% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by LERNER, MARTIN receive 2.12 office actions before reaching final disposition. This places the examiner in the 57% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by LERNER, MARTIN is 31 months. This places the examiner in the 55% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +6.3% benefit to allowance rate for applications examined by LERNER, MARTIN. This interview benefit is in the 33% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 27.1% of applications are subsequently allowed. This success rate is in the 46% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.
This examiner enters after-final amendments leading to allowance in 46.3% of cases where such amendments are filed. This entry rate is in the 70% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 150.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 89% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.
This examiner withdraws rejections or reopens prosecution in 77.8% of appeals filed. This is in the 69% percentile among all examiners. Of these withdrawals, 57.1% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.
When applicants file petitions regarding this examiner's actions, 45.5% are granted (fully or in part). This grant rate is in the 39% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 1.6% of allowed cases (in the 72% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 14.3% of allowed cases (in the 91% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.