Future-Proofing Legal Workflows with Artificial Intelligence

Guest NotesAron Ahmadia is the Senior Director for Applied Science at Relativity where he leads the development of AI capabilities for Relativity One, including AI-Assisted Review, Analytics, and Search. His specializations include the use of AI in Legal Discovery, Model Risk Management, and Responsible AI. Dr. Ahmadia holds a Ph.D. in Applied Math from Columbia University and a B.S. in Computer Engineering from the Illinois Institute of Technology.Guest LinkedInAron AhmadiaKey Takeaways1. Artificial intelligence has been part of the legal tech landscape for decades, but recent years have seen exponential growth and transformation, especially with the rise of generative AI.2. The adoption of AI in legal workflows is accelerating, with machines now reviewing a significant volume of documents compared to human reviewers, driving efficiency and accuracy.3. Early challenges in AI, such as costly and inaccurate transcription, have been overcome through rapid improvements in technology, making advanced solutions accessible and reliable.4. Responsible development and deployment of AI are crucial. Users are encouraged to engage with AI systems but maintain a trust-but-verify approach.5. Looking ahead, the focus is on identifying and solving future problems in legal tech, with an emphasis on understanding what challenges lie ahead in the next few years and how AI can help address them.

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