Second Global Report on the Use of Artificial Intelligence in Legal Practice
LLI Whitepaper
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Beschreibung
“Second Global Report on the State of Artificial Intelligence in Legal Practice” is one of the most comprehensive independent global references for everyone working at the intersection of law and technology. Building on its groundbreaking predecessor, the report draws on responses from law firms and legal departments across multiple jurisdictions, offering an unparalleled snapshot of how AI is reshaping legal practice in real time.
Prepared in collaboration with major international legal organizations representing several million lawyers worldwide, and enriched with commentary from leading scholars and practitioners who have helped shape the AI & law field over decades, the report bridges academic insight with practical experience from across the global legal ecosystem.
It enables legal professionals to benchmark their own AI adoption, understand emerging tools and workflows, and critically assess the opportunities and risks that come with them.
Featuring expert perspectives on topics ranging from the automation potential of legal tasks to the ethical and regulatory challenges ahead, this publication provides both breadth and depth. It addresses the concerns practitioners actually face — from data privacy and algorithmic bias to the future of junior legal roles — while remaining grounded in robust empirical data.
How and where do lawyers actually use AI?
Which tools dominate the market, and why?
What are the biggest opportunities, risks and concerns?
How will AI shape the future of legal professions and education?
Ideal for legal practitioners seeking to navigate AI's growing role in their work, for inhouse counsel evaluating technology investments, and for researchers studying the transformation of the legal profession, this report speaks to a wide and varied audience.
The authors are members of the Liquid Legal Institute who have developed this report in collaboration with experts from around the world.
Autor*in
Michal Jackowski