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Bloomberg Law Hosts AI Symposium on Future of Legal Technology


Bloomberg Law Hosts AI Symposium on Future of Legal Technology
  • by: Source Logo
  • |
  • July 9, 2025

Bloomberg Law brought together leading voices from legal, academic, and tech sectors at its first-ever Law, Language, and AI Symposium on June 9, 2025. The event marked a significant moment in the evolution of legal technology, spotlighting how artificial intelligence is reshaping the practice of law—both in theory and application.

Quick Intel

  • Bloomberg Law hosted its inaugural Law, Language, and AI Symposium on June 9, 2025.

  • Event focused on practical and ethical AI use in legal practice and research.

  • Thought leaders shared insights on NLP, document automation, legal reasoning, and smart contracts.

  • Themes included explainability, fairness, and improved access to justice using AI.

  • Presentations featured institutions like Yale, Stanford, Purdue, and CMU.

  • Symposium reinforced Bloomberg Law’s AI-driven innovation strategy in legal tech.

Legal AI in Focus: Bloomberg Law’s Thought Leadership Event

Held in Arlington, Virginia, Bloomberg Law’s symposium united stakeholders at the intersection of law and artificial intelligence. Designed to bridge academic theory with legal practice, the event facilitated discourse around how AI technologies—especially natural language processing, reasoning frameworks, and smart document tools—can elevate the legal profession.

Speakers and researchers presented on real-world AI applications that enhance legal workflows, offer scalable automation, and drive accessibility.

"Bloomberg Law has long been focused on applying AI in ways that deliver real value to legal professionals," said Bobby Puglia, Chief Product Officer at Bloomberg Industry Group. "We’re honored to convene a group that shares our commitment to leveraging AI to improve the accuracy, efficiency, and overall effectiveness of the legal process."

Research Highlights and Emerging Themes

Notable presentations included:

  • Clause-level predictive analytics for transactional law by Rebecca B. Pasternak (Mayer Brown)

  • Multi-agent LLM platforms for legal document preparation by Tong Liang (Dynosaur Technology)

  • Access to justice prototypes from Stanford CodeX by Bruce B. Cahan & Yen Kha

  • Legal QA benchmarks using SEC filings from the University of Edinburgh

  • Neurosymbolic argumentation and legal reasoning tools from CMU

  • Smart contracts and AI-powered will creation by the University of Arizona team

  • LLMs as knowledge bases for legal override tasks by Larissa Mori and Mario Ventresca (Purdue)

These sessions were organized into three key categories:

  1. AI for Transactional Practice & Document Automation

  2. Reasoning Frameworks and Explainability

  3. Evaluation, Benchmarks & Access to Justice

Customization, Ethics, and the Path Ahead

Megan Ma, Executive Director of the Stanford Legal Innovation Lab, delivered the keynote—focusing on multi-agent personas and how AI agents can be customized to reflect specific legal roles and authorship styles. Her research explored ways to humanize AI outputs in legal contexts, ensuring outputs mirror authentic legal reasoning and voice.

From fairness in AI models to the practical application of LLMs in contract review, the event surfaced both the opportunities and critical ethical considerations facing the next era of legal practice.

 

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. 

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