4 Key Takeaways | AI In Practice: Patent Prosecution Strategies and the Upcoming Colorado AI Mandates
Kilpatrick’s recent presentation on “AI in Practice: Patent Prosecution Strategies and the Upcoming Colorado AI Mandates” highlights the transformative impact of Generative AI within patent law. The session emphasizes the necessity of a calibrated approach in utilizing AI technology effectively.
1. Prepare for the Colorado AI Act (CAIA)
The Colorado Artificial Intelligence Act (CAIA), set to take effect on June 30, 2026, is poised to be the first state law to comprehensively regulate AI systems. This law applies to entities operating in Colorado that develop or deploy AI systems making “consequential decisions” in various sectors including employment, financial services, healthcare, housing, insurance, and legal services.
A key objective of the CAIA is to eliminate algorithmic discrimination, ensuring that no protected class is treated unfairly. The law imposes specific duties of care and mandates impact assessments for both developers and deployers of AI systems. Consumers will be granted the right to appeal adverse decisions and correct inaccuracies in personal data used by AI.
2. Master AI Prompt Engineering
Effective use of AI hinges on prompt engineering. Overbroad prompts can lead to errors; hence, clear and specific instructions are essential for optimal results. Organizations are encouraged to establish a shared prompt library to assist new users in utilizing AI chatbots effectively.
Providing precise examples in the desired format is crucial. Additionally, soliciting feedback from the AI engine on how to refine prompts can significantly enhance output quality.
3. Clients Can Leverage AI for Enhanced Management
AI can serve as a valuable tool for clients to target investments and evaluate attorney work products. It performs particularly well within a defined universe of technical documents. Notable use cases include:
- Comparative Analysis: Using AI to compare new invention disclosures with a client’s existing patent portfolio to identify potential overlaps, especially beneficial when multiple in-house counsel manage a portfolio.
- Verification: Employing AI to cross-check invention disclosures against drafted patent applications, ensuring all inventor concepts are adequately described.
4. Enforce Strict Ethical Guardrails
While AI tools present significant advantages, they also carry inherent risks that must be managed responsibly. As the attorney of record, it is imperative to ensure the integrity of the final work product.
- Confidentiality: Never input client-privileged information into public AI platforms. Always utilize secure, enterprise-grade instances.
- Hallucinations: AI models may generate fabricated information. Since May 2025, there have been at least 23 instances of AI hallucinations cited in court records. Independent verification of all AI-generated output is essential.
