Founders Legal Expands Enterprise AI Patent Strategy for Software Innovators
Atlanta, GA — March 5, 2026 — Founders Legal has expanded its enterprise AI and software patent strategy practice to address evolving patent eligibility standards and heightened investor scrutiny surrounding AI-driven platforms.
Enterprise AI investment continues to accelerate across infrastructure, analytics, and applied intelligence platforms. At the same time, patent examination standards for software innovation have tightened around a central question: does the invention deliver a concrete technical improvement to computing systems?
This shift carries material consequences for AI companies. Patent applications built around high-level functionality or outcome descriptions face increasing pressure during examination and venture diligence. Applications grounded in architecture, processing workflows, and system-level optimization carry greater durability.
In response, Founders Legal has broadened its patent advisory framework to align closely with how modern AI systems are engineered and deployed.
From Function to Technical Architecture
Current examination trends emphasize measurable technical improvement. Claims that detail structured data handling, model integration pathways, latency reduction techniques, memory management strategies, or coordinated system behavior demonstrate how an invention advances computing performance.
Enterprise AI platforms frequently rely on sophisticated orchestration layers, distributed processing pipelines, and specialized integration between models and infrastructure. Capturing these elements within a patent specification requires precision at the design level.
Founders Legal works directly with engineering teams to translate implementation decisions into structured disclosures. Patent claims are drafted around system architecture and operational mechanics, reflecting how the platform improves computing efficiency or functionality in concrete terms. This architectural focus strengthens both eligibility positioning and long-term enforceability.
Enterprise AI and Capital Markets Discipline
For enterprise AI companies, intellectual property often sits at the core of competitive positioning. Many platforms operate within shared model ecosystems, where foundational architectures are widely studied and publicly documented. Differentiation increasingly arises from implementation detail, integration depth, and performance optimization.
Investors and acquirers evaluate patent portfolios with growing technical scrutiny. Diligence reviews assess whether claims reflect substantive system-level advancement and whether they meaningfully distinguish from public model implementations.
Portfolios anchored in architectural specificity provide greater clarity during financing and acquisition discussions. By aligning patent strategy with engineering decisions early in the product lifecycle, Founders Legal aims to reduce valuation friction and reinforce long-term leverage.
Compressed Innovation Cycles and Global Exposure
AI development cycles move rapidly. Product demonstrations, investor presentations, research publications, and beta deployments often precede structured patent planning.
U.S. patent law provides limited grace periods for certain disclosures. Many international jurisdictions require absolute novelty, meaning a public reveal can extinguish patent rights immediately. Companies expanding into global markets face increasing complexity as fundraising timelines, product launches, and international filing strategies converge. As part of its expanded enterprise AI patent strategy, Founders Legal integrates timing analysis into early-stage advisory work. The firm advises clients on coordinated filing plans aligned with investor outreach, commercialization milestones, and international expansion objectives. This structured approach supports protection across jurisdictions while preserving operational momentum.
Integrated Intellectual Property Strategy for AI Platforms
The firm’s expanded focus on AI patent strategy operates within its broader intellectual property and technology law practice. Trade secret frameworks safeguard proprietary training methodologies and datasets. Copyright protects source code, APIs, and documentation. Trademark strategy reinforces platform identity in competitive markets.
Patent drafting remains central for AI companies seeking durable protection. As eligibility standards evolve, technical precision and structured disclosure increasingly define portfolio strength.
“We are seeing AI companies make substantial engineering investments while leaving patent framing underdeveloped,” said Kevin Bastuba, Patent Group Chair at Founders Legal. “Eligibility analysis and investor diligence both focus on technical improvement. Claims must articulate how a system enhances computing performance in specific, measurable ways.”
Positioning Patent Strategy Within the AI Growth Cycle
Founders Legal’s expanded enterprise AI patent strategy reflects the firm’s view that intellectual property planning must evolve alongside software architecture and capital markets expectations. By grounding claims in system design, coordinating filing timelines with business milestones, and integrating patent protection into broader commercial strategy, the firm supports AI companies from early development through enterprise deployment and exit.
In particular, Kevin specializes in preparing and executing strategies for obtaining domestic and international patent protection for clients’ inventions.In addition to his experience preparing and prosecuting patent applications, Kevin has experience with post-grant proceedings before the U.S. Patent and Trademark Office.Kevin also has experience working with inventors to help determine patentability and points of novelty of their inventions.
