Hanzo

Exploring AI’s Impact on Legal Practices: Insights from Legalweek 2024

6 February 2024


Legalweek 2024 was a significant event for the legal industry, showcasing a pivotal shift towards integrating and understanding generative artificial intelligence (AI) in a nuanced way. The conference held in New York City focused on exploring AI’s potential to reshape legal practices beyond the initial introduction of technologies like GPT-4. The event highlighted a cautiously optimistic attitude among legal professionals towards AI, motivated by a willingness to explore the potential of innovative, AI-powered legal technologies being introduced to the market. This reflects a broader trend of technological acceptance and the desire for legal professionals to leverage AI’s potential in transforming the legal landscape.


Maintaining Legal Standards in the Age of AI


One significant discussion at Legalweek 2024 revolved around the integration of generative AI into legal practices. Despite the innovative potential of AI technologies, a keynote debate highlighted that these advancements do not alter the fundamental legal obligations under the American Bar Association ethics rules or the Federal Rules of Civil Procedure. Legal professionals were reminded that while technology evolves, the core responsibilities and ethical standards remain.

AI in Legal Practice: Use Cases in Corporate and Law Firms


Legalweek participants highlighted the emergence of a new era brought about by AI in the legal industry. Many emphasized its potential to revolutionize how legal professionals, from corporate legal teams to law firms, approach their work. The consensus was that tasks that were once reserved for highly skilled individuals, such as intricate research and writing, are now being transformed through AI technology, leading to increased efficiency and cost-effectiveness in legal services. This shift goes beyond simple task automation and enhances the skill set of legal practitioners, enabling them to complete complex activities more quickly, including document analysis in discovery, motion drafting, timeline creation, and the generation of various legal documents. Key applications discussed included AI’s capability to draft comprehensive synopses, summarize legal briefs or documents, create detailed timelines or storyboards, and assess case relevance early on. The integration of AI into legal practices represents a significant leap forward, combining technological advancements with traditional expertise to address the modern challenges of the legal industry.


AI Adoption Challenges Brought to Light


Several issues related to the adoption of AI in the legal profession were brought to light. The conference emphasized the significance of data in the training of AI tools. With the rising interest of legal professionals in using generative AI, concerns about the accessibility and quality of data required for effective training were highlighted as essential. This includes ensuring that AI systems are trained on pertinent and high-quality datasets to perform their tasks accurately and efficiently.

Finally, another notable concern among participants revolved around the accuracy and confidence in the scoring systems used for evaluating the recall of generative AI technologies. Attendees expressed a keen interest in seeking real-world examples and evidence of adoption and usage, aiming to better understand how these technologies can be practically applied within the legal industry. Additionally, there was a significant focus on the need for guidance regarding governance and the development of case law related to the use of Large Language Models (LLMs) for evidence gathering, eDiscovery, and document review processes. These discussions underscored the legal community’s cautious approach toward embracing AI, emphasizing the importance of reliability, regulatory compliance, and the establishment of best practices as AI continues to integrate into legal workflows.


Hanzo’s Illuminate with Spotlight AI can revolutionize how your team determines relevancy during early case assessment.