The Case for Generative AI in the Legal Field - Ep. 210

Ethical Guidelines

Thomson Reuters is actively shaping the ethical landscape of AI in the legal industry. David Wong highlights the company's commitment to AI development guidelines that align with industry standards, such as those from Microsoft and Google. These guidelines are crucial for maintaining trust and safety, especially in a field where decisions can have life-and-death consequences 1.

We try to take an active participant role there because we're there to serve these industries and we want to make sure that we're keeping abreast of everything that's happening.

--- David Wong

Wong emphasizes the importance of participating in drafting ethical guidelines, ensuring that Thomson Reuters remains at the forefront of AI innovation while adhering to high ethical standards 2.

   

Data Protection

Privacy and data protection are paramount in Thomson Reuters' AI solutions. Wong explains the company's conservative approach to intellectual property, avoiding the use of external data for training to prevent legal complications 3. This approach includes retrieval-augmented generation techniques to ensure data integrity and privacy.

Segregation is also very important to make sure that we can be very clear that this instance, this particular user is segregated from this particular user.

--- David Wong

By segregating data by customer, Thomson Reuters aims to prevent data intermixing, thereby safeguarding client confidentiality and maintaining trust in their AI systems.