Bloomberg Law Hosts AI Symposium Exploring the Future of Legal Technology

ARLINGTON, Va., July 8, 2025 /PRNewswire/ -- Bloomberg Law hosted its inaugural "Law, Language, and AI Symposium" on June 9, 2025. This event convened thought leaders from academia, the legal profession, and the technology sector to explore the impact of AI on legal practice and research, underscoring Bloomberg Law's mission to enhance the practice of law through cutting-edge, customer-centric technology.

Designed to facilitate the converging worlds of legal scholarship and artificial intelligence, the symposium aimed to bridge the gap between theory and practical applications by offering a platform for dialogue on the evolving role of AI in the legal profession.

The event showcased research from distinguished scholars and practitioners addressing topics such as natural language processing for legal analytics, the integration of legal theory with AI, and practical approaches to ethics in legal technology. Selected researchers presented 20-minute talks and engaged in collaborative discussions, setting the foundation for future developments in AI-powered legal solutions and ethical AI practices. Presentations covered a diverse range of topics, highlighting both theoretical and applied advances in legal AI, organized into three categories: AI for Transactional Practice and Document Automation; Reasoning Frameworks and Explainability in Legal AI; and Evaluation, Benchmarks, and Access to Justice.

    --  At the Clause-Level: Bringing Predictive Analytics to Transactional
        Lawyering by Rebecca B. Pasternak (Mayer Brown)
    --  Multi-Agent LLM Platform for Legal Document Preparation by Tong Liang
        (Dynosaur Technology)
    --  Access to Justice for All using AI: A prototyping Working Group at
        Stanford University Center for Legal Informatics (CodeX) by Bruce B.
        Cahan and Yen Kha (Urban Logic)
    --  Numerical Reasoning in Legal and Financial Texts: A QA-Based Benchmark
        Using SEC Filings by Mark Klaisoongnoen and Claire Barale (EPCC - The
        University of Edinburgh)
    --  Using Automated Reasoning for Legal Reasoning by Ruzica Piskac and Scott
        Shapiro (Yale University)
    --  Neurosymbolic Argumentation Models: Semi-Structured Legal Reasoning with
        CRiSP by Sarah Santos, Anmol Singhal, Travis Breaux and Thomas Norton
        (Carnegie Mellon University)
    --  Towards Smart(er) Wills: Using AI to Bridge Natural Language and Smart
        Contracts by Alice Saebom Kwak, Muaz Ali, Mihai Surdeanu, Clayton T.
        Morrison, Saumya Debray and Derek E. Bambauer (University of Arizona)
    --  RASOR: Contextual Legal Intelligence via Rationalized Selection and
        Refinement in RAG by Yash Saxena, Ankur Padia, Swati Padhee, Manas Gaur
        and Srinivasan Parthasarathy (University of Maryland Baltimore County)
    --  LLMs as Legal Knowledge Bases: Evaluating LLM Knowledge in Overruling
        Legal Tasks by Larissa Mori and Mario Ventresca (Purdue University)

Several broad themes emerged from presentations and discussions, from how AI tools will enable practical application in the legal field to how we need to address the problems that AI models still face, especially when dealing with complex legal data.

Megan Ma, executive director of the Stanford Legal Innovation through Frontier Technology Lab at Stanford Law School, delivered a compelling keynote exploring groundbreaking research on multi-agent personas within the legal profession. She highlighted how this approach could transform legal AI tools by enabling greater customization and utility. Ma discussed innovative ways to shape AI agents to mirror the expertise of specific legal professionals, allowing for the creation of documents in a particular author's style or tailored to reflect the perspective of a plaintiff or defendant.

"Bloomberg Law has long been focused on applying AI in ways that deliver real value to legal professionals," said Bobby Puglia, chief product officer, Bloomberg Industry Group. "We were deeply impressed by the exceptional quality of work submitted for this symposium and are honored to convene a group that shares our commitment leveraging AI to improve the accuracy, efficiency, and overall effectiveness of the legal process."

For more information on the symposium, please visit https://aboutblaw.com/biNJ.

About Bloomberg Law
Bloomberg Law combines the latest in legal technology with workflow tools, comprehensive primary and secondary sources, trusted news, expert analysis, and business intelligence. For more than a decade, Bloomberg Law has been a trailblazer in its application of AI and machine learning. Bloomberg Law's deep expertise and commitment to innovation provide a competitive edge to help improve attorney productivity and efficiency. For more information, visit Bloomberg Law.

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SOURCE Bloomberg Law