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Ethical Considerations in AI-Powered Personal Injury Practice Management
Subject area: Arts, Social Sciences and Humanities · Area of research: Legal Ethics & Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I12-1718748
Abstract
The rapid integration of artificial intelligence (AI) into personal injury law practice management has generated a wide array of ethical challenges that legal practitioners, bar associations, and policymakers are only beginning to address with rigor. This article provides a comprehensive scholarly examination of the ethical considerations arising from AI deployment across personal injury practice management functions, including client intake, medical record analysis, legal research, discovery, settlement negotiation, and billing. Drawing on formal ethics opinions from the American Bar Association and state bar authorities, recent landmark judicial decisions, and empirical research on AI adoption in law, the article analyzes the professional responsibility obligations that govern attorney AI use including duties of competence, confidentiality, candor, supervision, and communication. It further examines the systemic ethical challenges posed by algorithmic bias in insurance claim valuation, attorney-client privilege vulnerabilities arising from consumer-grade AI platforms, and the tensions between AI-driven efficiency gains and equitable fee practices. The article concludes that the ethical integration of AI into personal injury practice requires a proactive governance framework grounded in professional responsibility principles, transparent client communication, robust oversight protocols, and continuous education and that the legal profession must engage these obligations deliberately rather than reactively.
Keywords
AI Ethics, Personal Injury Law, Professional Responsibility, ABA Formal Opinion 512, Algorithmic Bias, Attorney-Client Privilege, Informed Consent, Generative AI, Legal Technology Governance, Billing Ethics.
How to cite this paper
@article{1718748,
author = {Sophia Snomi},
title = {Ethical Considerations in AI-Powered Personal Injury Practice Management},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {12},
pages = {858-868},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1718748.pdf},
abstract = {The rapid integration of artificial intelligence (AI) into personal injury law practice management has generated a wide array of ethical challenges that legal practitioners, bar associations, and policymakers are only beginning to address with rigor. This article provides a comprehensive scholarly examination of the ethical considerations arising from AI deployment across personal injury practice management functions, including client intake, medical record analysis, legal research, discovery, settlement negotiation, and billing. Drawing on formal ethics opinions from the American Bar Association and state bar authorities, recent landmark judicial decisions, and empirical research on AI adoption in law, the article analyzes the professional responsibility obligations that govern attorney AI use including duties of competence, confidentiality, candor, supervision, and communication. It further examines the systemic ethical challenges posed by algorithmic bias in insurance claim valuation, attorney-client privilege vulnerabilities arising from consumer-grade AI platforms, and the tensions between AI-driven efficiency gains and equitable fee practices. The article concludes that the ethical integration of AI into personal injury practice requires a proactive governance framework grounded in professional responsibility principles, transparent client communication, robust oversight protocols, and continuous education and that the legal profession must engage these obligations deliberately rather than reactively.},
keywords = {AI Ethics, Personal Injury Law, Professional Responsibility, ABA Formal Opinion 512, Algorithmic Bias, Attorney-Client Privilege, Informed Consent, Generative AI, Legal Technology Governance, Billing Ethics.},
month = {June},
doi = {https://doi.org/10.64388/IREV9I12-1718748}
}