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Raymond J. McVeigh

Associate

Raymond J. McVeigh

Associate

R.J. McVeigh is a commercial litigator who represents companies and executives in high鈥憇takes business disputes involving complex manufacturing and supply鈥慶hain litigation, contractual breakdowns, executive and employee separations, and non鈥慶ompete and fiduciary claims. He advises clients across industries where litigation strategy must account for business continuity, workforce stability, and operational risk.

R.J. regularly serves in lead鈥慳ssociate and day鈥憈o鈥慸ay case鈥憁anagement roles on significant matters, where he is trusted with shaping litigation strategy, directing discovery and motion practice, and driving disputes toward efficient resolution. He is frequently involved at critical inflection points in litigation, including emergency injunctive relief, dispositive motion practice, and matters involving sensitive employment and executive鈥憀evel issues, where early strategy materially affects leverage and outcome.

A significant part of R.J.鈥檚 practice involves manufacturers and suppliers in commercial and supply鈥慶hain disputes, including litigation involving breach of contract, warranty claims, pricing and tooling disputes, and continuity鈥憃f鈥憇upply issues. His work frequently involves technically complex factual records and multi鈥憄arty business relationships, including matters arising in the automotive and manufacturing sectors, where supply disruption and regulatory pressure heighten litigation risk.

R.J. also has substantial experience representing employment鈥憆elated and executive separation disputes, including litigation over non鈥慶ompete and restrictive covenant agreements, fiduciary obligations, compensation and commissions, and disputes arising from departures of senior employees or teams. He represents both companies and groups of executives in matters requiring careful coordination of legal strategy, business objectives, and reputational considerations.

In addition to litigation, R.J. counsels clients on risk mitigation and dispute鈥慳voidance strategies, including emerging issues at the intersection of technology and commercial relationships. As manufacturers and suppliers increasingly rely on automation, data analytics, and artificial intelligence in sourcing, forecasting, logistics, and workforce management, R.J. advises on how these technologies can affect contractual obligations, employment decisions, and downstream litigation risk.

Prior to joining Foley, R.J. served as a law clerk to the Honorable Daniel P. Collins of the United States Court of Appeals for the Ninth Circuit. He earned his J.D., with honors, from Harvard Law School, where he held leadership roles on the Harvard Law Review and the Harvard Journal of Law & Public Policy.

Representative Experience

  • Leads dispositive motion practice in complex commercial litigation, securing dismissal of claims and significantly reducing client exposure at pivotal stages of dispute resolution.
  • Serves as lead associate in non鈥慶ompete, restrictive covenant, and executive鈥憀evel employment disputes, guiding strategy in matters involving departing executives, employee teams, and fiduciary鈥慸uty allegations.
  • Obtains temporary restraining orders and preliminary injunctions in urgent business and employment disputes to halt ongoing harm, protect confidential information, and preserve customer and workforce stability.
  • Represents manufacturers and suppliers in commercial and supply鈥慶hain litigation, including disputes involving breach of contract, warranty claims, pricing and tooling disagreements, and supply disruptions.
  • Oversees discovery and motion practice in multi鈥憏ear, high鈥憇takes litigation involving extensive records, technical issues, and cross鈥慴order business relationships, driving matters toward early resolution or favorable dispositive outcomes.
  • Authors and contributes to industry鈥慺ocused thought leadership addressing developments in commercial litigation, employment鈥憆elated disputes, and manufacturing and supply鈥慶hain risk.

Presentations and Publications

  • Co-author, 鈥淪ixth Circuit Finds Automotive Supplier鈥檚 鈥楤lanket Contract鈥 Did Not Create Requirements Contract, Citing Airboss,鈥 Foley Dashboard Insights聽(June 2024)
Artifical intelligence in supply chain and manufacturing
June 24, 2026 Manufacturing Industry Advisor

Five Steps Every Manufacturer and Supply Chain Manager Should Take to Build a Scalable AI Governance Program

The rapid deployment of agentic AI across manufacturing and supply chain operations is creating a widening gap between system capability and organizational oversight. AI agents are now or soon could be autonomously negotiating procurement terms, executing purchase orders, adjusting production schedules, and making quality control decisions, often with limited or no human intervention. Yet a PricewaterhouseCoopers 2026 survey found that only 37% of operations leaders are comfortable assigning AI agents to execute full end-to-end processes, and only 27% have fully embedded an AI strategy across business units.
Legal Considerations for IP in Smart Manufacturing: Data Ownership, Trade Secret Risks, and Patenting AI-Assisted Inventions
May 27, 2026 Manufacturing Industry Advisor

Legal Considerations for IP in Smart Manufacturing: Data Ownership, Trade Secret Risks, and Patenting AI-Assisted Inventions

The rapid deployment of AI-driven manufacturing technologies presents a dual challenge for in-house counsel and business leaders: how to capture competitive advantage through innovation while managing the attendant intellectual property (IP) risks. As manufacturers integrate AI-driven robotics, IoT-enabled digital twins, and agentic AI systems into their operations, they are generating significant intellectual property assets and exposures that demand proactive legal strategy.
Agentic Artificial Intelligence
May 20, 2026 Manufacturing Industry Advisor

Agentic AI Liability in Autonomous Supply Chain Decisions: Identifying and Preventing Legal Risks

By 2026, 鈥渄igital twins鈥 and AI鈥慸riven predictive analytics have become essential tools in supply chain and industrial manufacturing. Specifically, the digital twin in manufacturing represents a paradigm shift in how organizations manage production planning, supplier selection, capacity forecasting, inventory optimization, and quality control across global supply chains. For example, General Motors announced in March 2025 that it was working with NVIDIA Omniverse to create digital twins of assembly lines, and in March 2026 Delta Electronics announced a similar plan to monitor factory HVAC, lighting, and energy savings. As adoption accelerates, organizations should understand both the strategic advantages and the legal issues these technologies present.
picture of a digital twin
May 13, 2026 Manufacturing Industry Advisor

Digital Twin Technology and Predictive Analytics in Manufacturing Supply Chains: Preventing Data-Driven Supply Chain Disputes

A digital twin is a dynamic, virtual representation of a physical asset, process, or system that is continuously updated by real鈥憌orld data.
Robotic arms assembling cars in an advanced manufacturing plant.
May 6, 2026 Manufacturing Industry Advisor

AI Predictive Maintenance in the Manufacturing and Supply Chains: Contract Strategies to Reduce Downtime and Liability

Across the automotive supply chain, Tier 1 and Tier 2 suppliers are rapidly adopting AI-powered predictive maintenance platforms. These tools promise to revolutionize plant operations鈥攎onitoring welding robots, stamping presses, and CNC machines through real-time sensor data, then forecasting failures before they happen. The potential upside is enormous: reduced unplanned downtime, optimized maintenance schedules, and a genuine competitive edge in an industry where every minute of line stoppage costs money.
A row of robotic arms operates along both sides of an automated conveyor belt inside a brightly lit industrial factory, where innovations are protected by intellectual property law and guided by experienced Chicago lawyers.
April 29, 2026 Manufacturing Industry Advisor

2026 AI in Manufacturing & Supply Chain Series

Welcome to the 2026 AI in Manufacturing & Supply Chain Series, a new initiative where we will help industry participants identify and manage the legal risks and business strategies arising from the profound shifts and innovations reshaping manufacturing and supply chain operations.