Below are brief recaps of our presentations and an early look at tomorrow鈥檚 webinar.

Ethics of Generative AI

I co-presented with David Sachar, director of NCSC鈥檚 Center for Judicial Ethics. We covered the ethical considerations surrounding generative AI technologies.

Our session explored the core issues judges and legal professionals should consider when navigating the intersection of law and technology. We examined legal frameworks and standards related to AI and generative AI and discussed what new guidelines may be necessary. We also shared practical tools and resources for managing generative AI-related issues.

Our goal was to guide attendees as they confront the ethical complexities of generative AI. There was great engagement and feedback from our session. For example, an attendee said, 鈥淭his session helped me feel a little less fearful about AI!鈥�

Ethics of Navigating AI in Court Systems

David and I also hosted a follow-up webinar, . We discussed how the integration of AI in court systems promises enhanced efficiency and decision-making capabilities yet raises significant ethical and legal challenges that must be addressed to maintain public trust and uphold the principles of justice.

Our aim was to assist attendees in developing an AI infrastructure to ensure that technologies are used responsibly and ethically. We emphasized guiding principles, standards, and protocols to help courts prevent misuse, bias, and potential harm. We received overwhelmingly positive feedback. An attendee said: 鈥淚 would not change a thing. Thank you for putting together this amazing and necessary series on AI.鈥�

How to Use Prompt Engineering

I鈥檓 happy to share the next presentation will be led by my colleague Valerie McConnell, senior director, CoCounsel, 成人VR视频, and Catherine Sanders Reach of the North Carolina Bar Association. On Nov. 6, they鈥檒l present .

They鈥檒l highlight the basics of prompt engineering, share best practices for writing effective prompts, discuss the common challenges and solutions in legal AI prompting, and explain how to apply AI prompting techniques to legal and court-specific cases.

I recommend (or the recording) to explore prompt engineering in the legal space.

It鈥檚 been an honor to be part of the AI Policy Consortium for Law and Courts. I hope you鈥檒l join our group of top judicial officers, leading AI experts, and legal professionals as we examine how AI in general 鈥� and generative AI in particular 鈥� is shaping state, federal and international court systems.

This is a guest post from Carter Cousineau, head of Data and Analytics (interim)/vice president of Responsible AI and Data, 成人VR视频.

In the latest , Blanchfield shared how the power of generative AI 鈥� and the dramatic leap it鈥檚 making in how professionals across industries can access large quantities of data 鈥� is transforming the legal industry and beyond. Blanchfield credits the more than 1,500 attorney editors on her team, who create and enhance content, with harnessing the power of generative AI for legal research.

Human expertise is just one component of how 成人VR视频 is capitalizing on the potential of generative AI. Three elements are critical, as David Wong, chief product officer, 成人VR视频, noted in his comments about the launch of CoCounsel 2.0 at ILTACON: 鈥淲e have the data, the expertise, and the tech. Few have all three in such quantity and depth.鈥�

In the new , Wong focused on the role of human domain experts, noting they鈥檙e key to the process of creating and validating data used by AI models for professional research.

鈥淭here’s a lot of both prompt engineering, fine tuning, and system refinement that’s necessary to get quality to a usable spot,鈥� Wong said. 鈥淓xperts, experienced researchers and experienced lawyers can help to gauge whether or not the systems are correct. We couldn’t have an objective, quantified measure of quality on these systems without the editors, without those experts.鈥�

Wong and Blanchfield discussed the importance of human experts in ensuring the accuracy and reliability of AI.

鈥淢aintaining accuracy is at the heart of what the editorial team does,鈥� Blanchfield said. 鈥淚t鈥檚 the number-one priority across every editorial team. We maintain our content to be accurate and trusted.鈥�

Wong acknowledged it鈥檚 challenging for the team to process and update unstructured, constantly changing data in real time. He said that 成人VR视频 ensures that its AI models are customized and meeting the varying needs of various jurisdictions through a combination of software and algorithms that take advantage of the LLMs.

鈥淪o when you ask a question of , for example, we are running an end-to-end algorithm which runs search, retrieves data, re-ranks, interprets and then ultimately passes that information to a large language model to synthesize and produce the answer,鈥� Wong said. 鈥淚t’s a very complicated system which involves multiple types of technology, multiple types of information retrieval.聽Processing unstructured, dynamic data and customizing AI models requires integrating multiple technologies and algorithms to optimize performance.鈥�

Hear more of Wong and Blanchfield鈥檚 insights on integrating AI into professional tools and ensuring that information is trustworthy in the of the TechConnect series, which brings diverse and dynamic perspectives from all corners of the technology world with thought-provoking questions and conversation.