Measuring the Impact of Artificial Intelligence on Case Lifecycle Management in Personal Injury Law

@article{1718747,
      author = {Sophia Snomi},
      title = {Measuring the Impact of Artificial Intelligence on Case Lifecycle Management in Personal Injury Law},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {849-857},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718747.pdf},
      abstract = {The rapid integration of artificial intelligence (AI) into legal practice has fundamentally altered the operational architecture of personal injury law. This article examines the measurable impacts of AI technologies across the complete lifecycle of a personal injury case — from initial client intake through investigative documentation, discovery, settlement negotiation, and final resolution. Drawing on industry surveys, legal technology reports, and emerging empirical evidence, the article evaluates quantitative efficiency gains, predictive analytics capabilities, and the transformation of document-intensive workflows. It further analyzes critical dimensions of AI deployment including return on investment frameworks, ethical obligations, algorithmic bias, and the legal profession's evolving regulatory response. The article concludes that while AI offers demonstrably transformative productivity and accuracy benefits, its effective integration requires human oversight, rigorous performance measurement, and a commitment to equitable outcomes for injured plaintiffs.},
      keywords = {Artificial Intelligence; Personal Injury Law; Case Lifecycle Management; Legal Technology; Predictive Analytics; Natural Language Processing; Settlement Valuation; eDiscovery; Algorithmic Bias; Return on Investment.},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718747}
  }