Pierson Ferdinand was officially launched in 2024 as a technology-driven, full-service law firm, bringing together more than 130 partners across over 80 practice areas. Led by A. Michael Pierson and Joel M. Ferdinand, the firm operates through a distributed practice model supported by advanced legal technology and a client-centric culture. Its teams provide corporate, litigation, and intellectual property services with a focus on efficient delivery, collaboration, and practical business outcomes.
In this article, we take a closer look at Pierson Ferdinand’s patent prosecution practice, highlighting its work with innovators, key clients, and the top technology areas.
Pierson Ferdinand: Patenting Activity
As of this writing, Pierson Ferdinand has helped secure a growing number of patent grants, with a notable increase for 2025. The firm’s efforts reflect a strong upward trend in successfully obtaining intellectual property protection for its clients, demonstrating both the depth of its expertise and its proactive approach to navigating complex patent processes.
Pierson Ferdinand: Key Clients
Since its launch, Pierson Ferdinand has represented a diverse group of companies in securing patents, with Brain Corp emerging as one of its most prominent clients. The firm has also worked with Crius Technology Group and Egnyte. Notably, these companies develop software-driven technologies focused on automation, connectivity, and enterprise data management.
Focus on software innovation
Brain Corp develops software for autonomous robots used in commercial settings to perform tasks such as inventory management, remote site management, and cleaning operations. Crius Technology Group develops wireless networking software for government and commercial sectors to support interoperable communication and real-time data connectivity. Egnyte develops cloud-based software for businesses to manage, share, and secure digital files and content. Prince Ferdinand also assisted Egnyte in litigation matters, demonstrating the firm’s ability to support clients in complex disputes.
We also see patents Oxylabs and Pencil Learning Technologies. Oxylabs develops software and infrastructure tools used to collect and access publicly available web data, while Pencil Learning Technologies develops software platforms designed to support digital learning, assessment, and educational content delivery.
This demonstrates the firm’s expertise in advising companies developing software-driven technologies and innovations.
In addition to its technology focused work, Pierson Ferdinand has represented Howe Industries, Opus Medical Therapies, and VoxSmart, expanding its reach into industrial, healthcare, and communications focused organizations.
Pierson Ferdinand: Top Technology Areas
Pierson Ferdinand’s focus on key technology areas closely aligns with the strengths of its top assignees. Clients like Brain, Cirius Technology, and Egnyte operate in sectors where electric digital data processing (G06F) and transmission of digital information (H04L) play crucial roles. These companies rely on advanced computing and communication technologies, which explains why PierFerd’s patent work heavily involves these areas. The firm’s expertise in controlling non-electric variables (G05D) also supports clients developing integrated systems that combine digital innovation with physical processes, reflecting the diverse needs of its technology driven clients.
Moreover, the firm’s work in wireless communication networks (H04W), image processing (G06T), and computational models (G06N) matches the interests of clients such as Oxylabs and Pencil Learning Technologies. These areas relate directly to emerging fields like AI, machine learning, and advanced data analytics, which are essential to the products and services these clients offer. By prosecuting patents in image or video recognition (G06V) and manipulators (B25J), Pierson Ferdinand further supports its clients’ cutting edge innovations, demonstrating how its patent portfolio mirrors the varied technological focus of its top assignees.
Securing transformative technologies
These recently granted patents, prosecuted by Pierson Ferdinand, showcase the firm’s ability to secure innovative solutions across robotics, energy, and education. They reflect Pierson’s strength in protecting complex technologies, from privacy-aware systems and optimized resource extraction to intelligent content customization.
Privacy-aware robotic vision via multi-sensor detection
Robotic vision systems face the challenge of identifying useful features in images while protecting human privacy, as robots often operate in environments where people may appear without their consent. Traditional facial blurring approaches help preserve confidentiality but can reduce the quality of data by hiding important visual details, causing incorrect feature detection, limiting training data, and even mistakenly censoring non-human features such as faces printed on product packaging. This creates a conflict between maintaining accurate feature identification and ensuring that humans remain anonymous in robotic imagery.
U.S. Patent No. 12,524,016 describes a privacy-focused method that uses sensors like LiDAR, motion, thermal, or depth cameras to detect objects, identify whether they are humans or inanimate, and determine if real human faces are present. Face blurring is applied only when a human is actually detected, while images without humans are sent uncensored to AI models for reliable feature identification.
The system may also dim or disable onboard lighting when humans are present, communicate images to external servers for analysis, and generate updated maps that localize identified features based on the robot’s position. This approach preserves confidentiality without sacrificing data quality, enabling accurate feature detection, mapping, and learning.
The patent titled, “Systems and methods for preserving data and human confidentiality during feature identification by robotic devices”, was filed on January 25, 2023, and was granted on January 13, 2026 to Brain Corp. The listed inventors are Botond Szatmary and David Ross. Sidharth Kapoor handled the filing.
Tailored cleaning and stimulation for better petrochemical recovery
Petrochemical wells often face challenges from contaminants such as iron sulfide, barium sulfate, calcite, paraffin, asphaltene, biofilms, and residual chemicals from prior operations. These impurities can obstruct flow, reduce recovery efficiency, and complicate extraction in both conventional and unconventional reservoirs. Traditional stimulation or cleaning methods may not fully address the variability of contaminants, limiting the well’s productivity and leaving potential hydrocarbons unrecovered. Effective petrochemical extraction requires a strategy that accounts for both the type and concentration of contaminants while optimizing how cleaning or stimulation fluids are applied.
U.S. Patent No. 12,516,604 addresses these challenges by first analyzing oil or water samples from a well to identify the contaminants present. Based on this analysis, a model is used to design a tailored chemical composition and pumping schedule to remove or neutralize the contaminants. The composition may include acids, chlorine dioxide, surfactants, scale inhibitors, or gases like nitrogen and carbon dioxide, while the pumping schedule specifies volumes, rates, and durations optimized for the well’s geometry, geological zones, prior hydraulic fracturing history, and fracture characteristics.
By simulating chemical reactions between the contaminants and treatment fluids, the system ensures efficient removal, re-stimulation, and cleaning of the well, ultimately improving petrochemical recovery and production performance.
The patent titled, “Methods and systems for improving extraction of petrochemicals from petrochemical wells”, was filed on March 28, 2025, and was granted on January 6, 2026 to DG Petro Oil & Gas. The listed inventors are Panagiotis Dalamarinis and Stephen Gregory Fusselman. Keats Quinalty handled the filing.
Automating cultural and contextual customization
Educators often face challenges when creating teaching content for diverse cultural and contextual environments. Traditional approaches require manually adapting lesson materials to local contexts, such as changing place names, examples, or culturally relevant references. This process is labor intensive, prone to inconsistencies, and demands detailed knowledge of multiple cultural or contextual settings. Manually updating content can also be error prone, and maintaining high-quality, localized teaching media across different regions or audiences is difficult.
U.S. Patent No. 12,488,701 automatically modifies educational content using semantic and graph-based methods. It maintains an entity relationship database of semantic triples and generates an entity graph from text content to represent relationships between concepts.
When a first entity in the content is replaced, such as a location or culturally specific term, the system automatically determines connected entities that should also be adapted. Candidate replacements can be customized based on target location, language, or user profile, and updates can include both text and multimedia content.
This approach streamlines the creation of culturally and contextually relevant teaching materials, ensures consistency across learning resources, and reduces the effort and expertise required to produce high-quality localized content.The patent titled, “Systems and methods for semantic content customization”, was filed on September 9, 2022, and was granted on December 2, 2025 to Pencil Learning Technologies Inc. The inventors listed are Amogh Asgekar and Ayush Agarwal. Daniel Rose handled the filing.