Legal Best Practices Rise to Manage AI in Software Development
New legal guidance offers risk management strategies for AI-assisted software development.
Why it matters: Legal teams need clear frameworks to advise on AI integration in coding, protecting intellectual property and mitigating liability risks amid evolving regulations.
- The EU AI Act, effective August 2, 2026, mandates AI risk management with phased compliance deadlines through 2028.
- A 2026 California law holds organizations accountable for AI-caused harm, rejecting claims of autonomous AI responsibility.
- The U.S. Copyright Office requires human authorship for protection, excluding purely AI-generated code.
- Unauthorized employee use of AI ('shadow AI') and open-source licensing in AI-assisted code pose security and legal risks.
The rapid integration of AI in software development introduces complex legal risks, prompting new guidance focused on risk management. Organizations must navigate evolving regulations such as the EU AI Act, which took effect on August 2, 2026, and sets phased obligations through 2028. These include AI inventory management, data governance, audit logging, and transparency measures, designed to ensure responsible AI use in development environments.
In the United States, a 2026 California law bars defendants from claiming that AI autonomously caused harm. Instead, organizations remain liable for actions by their AI agents, emphasizing the need for vigilant oversight. As Baker McKenzie advises, "Companies should act now to build governance into agentic systems rather than retrofitting controls after a dispute arises."
The legal landscape further complicates AI-assisted development with intellectual property considerations. The U.S. Copyright Office maintains that copyright protection requires human authorship, excluding work produced solely by AI. This complicates protection for AI-generated code and stresses the need for legal teams to carefully scrutinize authorship claims.
Beyond regulation, practical risks arise from AI-assisted coding tools potentially introducing code governed by restrictive open-source licenses, which can expose companies to licensing liabilities. Additionally, the unauthorized use of AI tools—referred to as "shadow AI"—amplifies security risks such as data breaches and regulatory non-compliance, highlighted in industry analyses.
Legal counsel advising software developers must adopt proactive governance frameworks that address these multifaceted risks. They should enforce strict policies on AI tool use, audit AI-generated outputs for licensing issues, and implement transparency and accountability measures aligned with legal mandates. As Taylor Wessing notes, "AI output typically lacks a traceable chain of origin," complicating evidentiary challenges and making risk management vital.
By the numbers:
- August 2, 2026 — Effective date of the EU AI Act
- 2026 — California law enacted prohibiting claims of autonomous AI causation
- 2028 — Phased compliance deadlines under the EU AI Act
Yes, but: While the EU AI Act and new US laws tighten controls, detailed frameworks for implementing governance in AI-assisted coding remain scarce, challenging companies to develop tailored policies.
What's next: Organizations should prepare for the EU AI Act's phased requirements through 2028 and monitor emerging US state regulations affecting AI liability and intellectual property.