Blog | September 30, 2025

How AI Is Reshaping Litigation: Insights from DRI’s Senior Living Seminar

Artificial intelligence is rapidly transforming nearly every facet of daily life, with its impact on medicine and law proving especially consequential.  At DRI’s recent Senior Living and Long-Term Care Litigation Seminar, attendees gained valuable insight into the evolving role of AI in legal practice from expert Joseph Bambara.  His presentation explored the foundational principles of AI, its practical applications in law firms, and the ethical and security considerations that must guide its adoption.

Fundamental Concepts and Implications

Artificial intelligence is a broad field within computer science focused on building systems that can perform tasks traditionally requiring human intelligence—such as reasoning, learning, problem-solving, perception, and language comprehension.  Bambara broke down the core components of Generative AI (GAI), a subset of AI that enables the creation of new content. GAI is driven by:

  • Machine Learning (ML): Algorithms that detect patterns in data and automatically construct logic models.
  • Deep Learning: A specialized branch of ML using multi-layered neural networks to handle complex tasks like speech and image recognition.
  • Foundation Models: Large-scale pretrained models—such as ChatGPT, Gemini, Grok, and Copilot—that serve as the basis of generative capabilities.
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GAI is advancing at an explosive pace, with each tool offering unique strengths. Bambara emphasized that successful integration of AI into legal workflows requires:

  • Staying current with the latest versions of AI tools.
  • Selecting tools tailored to the specific legal task or challenge.
  • Using multiple AI platforms to leverage their complementary capabilities.

Bambara underscored that AI should be viewed as an enhancement—not a replacement—for human expertise.  Effective use of generative AI requires a deep understanding of legal and medical issues, along with well-crafted prompts. Prompts should be clear, structured, and contextualized, include examples of desired outputs, and be continuously refined through testing.  When paired with professional judgment, AI can accelerate processes, uncover insights, and enhance decision-making—while preserving the important role of legal professionals.

Practical Applications

AI is already delivering measurable benefits in legal operations, including:

  • Contract review and analysis
  • Document drafting
  • Legal analytics
  • Workflow automation and case management
  • Medical record review

Successful implementation of these applications demands careful oversight. Bambara advised legal teams to:

  • Maintain human review of all AI-generated outputs, especially concerning ethical implications.
  • Ensure robust data security protocols to protect client information and sensitive health data.
  • Assess the full scope of integration costs, including infrastructure, hardware, and IT support.

He concluded with the caution that firms that fail to embrace AI risk falling behind in operational efficiency, talent retention, client satisfaction, and overall market competitiveness.

AI in Medical Record Review and Analysis: Excelas’ Approach

For more than two decades, Excelas has been a trusted leader in medical record analysis for long-term care providers, insurers, and legal counsel. Our team of experienced medical professionals, supported by proprietary technology, delivers tailored work products that enable early case assessment and resolution.  We continually monitor AI developments in aging services and the implications for the defense community.  Excelas is evaluating the integration of AI into its processes to further enhance efficiency and precision—continuing our commitment to innovation and excellence in litigation support.

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