Each Side Claims the Same Recent Ruling Supports Its Position in Thomson Reuters V. ROSS Appeal

Key Takeaways

• 3rd Circuit orders supplemental briefs on UpCodes ruling impact
• Thomson Reuters argues ruling limits AI-generated content copying
• ROSS claims ruling protects its machine-learning training methods
• Case could set precedent for AI-driven legal research tools
• Outcome may reshape copyright strategy in legal tech industry

Pulse Analysis

The Thomson Reuters v. ROSS appeal has resurfaced at a critical juncture for legal technology. After years of litigation over whether a startup’s AI engine infringed on copyrighted case law, the 3rd U.S. Circuit Court of Appeals instructed both sides to address the implications of the recent American Society for Testing & Materials v. UpCodes decision. That ruling, which dealt with the permissible reuse of building‑code data by a software platform, is now being leveraged as a benchmark for the limits of machine‑learning training on protected text.

Both litigants are interpreting the UpCodes precedent to support diametrically opposed arguments. Thomson Reuters contends that the decision narrows the fair‑use safe harbor for AI systems, emphasizing that the court stressed the need for substantial transformation and limited market impact. Conversely, ROSS’s brief argues that UpCodes affirmed a broader allowance for data aggregation, especially when the end product adds significant value for users. This clash highlights a broader uncertainty in copyright doctrine: how much of a copyrighted work can be ingested by an algorithm before it becomes an infringing copy, a question that courts have yet to answer definitively.

The stakes extend beyond the two companies. A ruling that favors Thomson Reuters could compel AI‑driven legal research providers to redesign their models, potentially limiting the speed and breadth of case‑law analysis. If ROSS’s interpretation prevails, it may unlock a wave of innovation, encouraging startups to train larger language models on existing legal texts without fearing liability. Investors, law firms, and corporate legal departments are watching closely, as the outcome will shape licensing strategies, risk assessments, and the competitive dynamics of the legal‑tech ecosystem.