Pushing legal frontiers with Gen-AI and LLMs

Delve into the legal strategies implemented for an AI-enabled platform specializing in document analysis and data intelligence. Faced with the uncharted territory of generative AI and Large Language Models (LLMs), we navigated intellectual property (IP) rights and the intricacies of AI mimicking professional advice.
The Client
The developer of an AI-enabled platform for document analyses and data intelligence.
The Challange
Build a robust legal architecture in an emergent industry while navigating uncertain legal landscapes.
The Solution
Assign AI-generated content rights to clients, integrate robust disclaimers and an Acceptable Use Policy (AUP) to navigate professional advice nuances and promote ethical AI usage.
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Navigating IP Challenges: A primary concern was the IP rights associated with the output produced by generative AI and LLMs. Given the novelty of the technology and the lack of clear legal precedents, determining ownership of the AI-generated content posed significant uncertainties. To address this, we adopted an industry-standard approach by assigning all potential rights of the output generated to the clients. This decision not only provided clarity and assurance to users regarding their ownership of the AI-generated content but also positioned the platform as a trustworthy partner in leveraging AI for business and creative purposes.

Interpreting Data Across Professional Domains: The platform's capability to interpret data in various professional capacities, such as "like a doctor" or "like a lawyer," introduced a fair amount of complexity and potential legal implications. This feature raised questions about the extent to which AI can mimic professional judgment without infringing on regulatory statutes that govern professional advice. To mitigate potential legal risks, the platform incorporated robust disclaimers and clearly communicated the limitations of AI-generated insights. Furthermore, it emphasized the supplemental nature of the AI's capabilities, ensuring that users understand the output should not replace the expertise of licensed professionals. This cautious approach allowed the platform to explore innovative functionalities while maintaining compliance with legal standards and ethical considerations in professional practice.

Acceptable Use Policy (AUP): An integral part of the legal architecture of the platform, the AUP was designed to define clearly the permissible and prohibited uses of the platform, particularly emphasizing the ethical use of AI and the handling of sensitive information. By setting these boundaries, the AUP played a critical role in promoting responsible use of the platform, safeguarding against misuse, and ensuring compliance with applicable laws and ethical standards. This policy was essential not only for protecting the platform and its users but also for fostering trust and integrity in the AI-enabled services provided.

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