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"Securing the Future of Legal Research: The Need for Transparency in Legal AI Tools (Part 2)"

Legal AI adoption is rising fast -- but trust hasn’t kept pace. This guide explores why transparency into reasoning, data, and performance is critical for law firms evaluating AI tools. Learn what to look for in explainable AI, how to assess data coverage, and the benchmarks that signal reliability in legal research technology.

Technology is advancing at an unprecedented pace in the legal sector — but many attorneys are uneasy about using tools they can’t fully trust. Concerns about opaque outputs, incomplete coverage, and ethical risk continue to grow. The 2025 ABA Law Technology Today report highlights attorneys’ concerns about trusting AI outputs and ensuring ethical alignment with legal practice. Meanwhile, the 2024 ILTA survey found that 44% of law firms worry about incomplete coverage in key practice areas.

Yet adoption is accelerating: one report shows that more than half of attorneys now use legal AI, up sharply from under one-third in 2024. To keep pace with this rapid change, firms need a clear framework for evaluating the reliability of AI-powered legal research.

This second white paper in a series of 4 explores how transparency builds the trust essential for responsible legal AI use. Download it to learn:

• Why understanding AI reasoning processes is essential for attorneys who must defend their analysis
• How disclosure of training datasets helps identify coverage gaps and assess relevance
• The performance benchmarks and citation accuracy standards that signal trustworthy AI tools
• Why grounding in authoritative data and explainable reasoning is key to defensible research
• The three pillars — trust, transparency, and citation accuracy — that define reliable legal AI

Whether your firm is just beginning to explore AI-powered research or already deploying advanced tools, this resource outlines what to demand from vendors and how to evaluate solutions that align with your ethical obligations and professional standards.

Download the guide to confidently assess AI solutions and safeguard the integrity of your legal research.

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