AI in Law: 78% Adoption Rate & Key Trends in 2024

by Marcus Liu - Business Editor
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AI’s Rapid Ascent in the Legal Industry: Adoption, Challenges, and Future Outlook

Artificial intelligence is rapidly transforming the legal landscape, with adoption rates soaring and a growing reliance on tools like ChatGPT, Microsoft Copilot, and Google Gemini. While the potential benefits are significant – from streamlining workflows to enhancing research capabilities – concerns surrounding confidentiality, privacy, and quality remain key barriers to widespread enterprise adoption. This article examines the current state of AI in the legal sector, the driving forces behind its growth, and the challenges that lie ahead.

The Surge in AI Adoption

According to the Litify 2025 report, AI adoption among legal professionals has reached 78%, a substantial increase over the past two years. This surge is attributed to several converging factors, including the accelerated shift to cloud technology, the normalization of remote work spurred by the COVID-19 pandemic, and the broader advancements in artificial intelligence.

The transition to cloud computing has been particularly crucial. The 2024 ABA Legal Technology Survey found that 94% of firms with over 50 lawyers had adopted cloud computing by 2024, up from 60% in 2021. While adoption remains lower among solo practitioners (approximately 65%), the overall trend indicates a growing comfort level with cloud-based solutions, paving the way for AI integration. During the pandemic, Zoom experienced a dramatic increase in usage, reaching 200 million daily meeting participants by May 2020 and 300 million by June 2020 [1].

Popular AI Tools Among Legal Professionals

Legal professionals are increasingly turning to readily available, “freemium” AI tools. ChatGPT currently leads the pack, with 66% of respondents in the State of AI in Legal Report utilizing the platform. Microsoft Copilot follows at 42%, and Google Gemini at 24%. These tools are favored for their accessibility and ease of use.

However, the industry is expected to shift towards enterprise-level AI solutions that require firm-wide implementation and change management. Investment in these tools has already surpassed that of traditional accounting software and timekeeping/billing systems.

Key Use Cases for AI in Law

The primary applications of AI in the legal field currently center around:

  • Case and Legal Research: 66% of legal professionals use AI for this purpose.
  • Summarizing Case Histories: 39% leverage AI for concise summaries.
  • Document Drafting, Review, and Analysis: 36% utilize AI to assist with these tasks.

While cost reduction, caseload optimization, and increased billings are potential benefits, they are currently less emphasized by users.

Addressing Concerns and Building AI Literacy

Despite the enthusiasm, significant hurdles remain. Confidentiality, quality, and privacy concerns are cited as the top roadblocks to enterprise-wide AI adoption by 50% of respondents.

To overcome these challenges, a focus on AI literacy is crucial. Law firms are increasingly expecting associates and staff to develop proficiency in AI tools, recognizing that their use can significantly streamline workflows and reduce costs. Law schools are responding by incorporating AI curriculum, developing usage policies, and establishing oversight committees. The University of Chicago Law School, for example, launched AI modules in early 2026 to bring students to a baseline level of generative AI literacy, supplementing existing upper-level electives focused on AI and law [3].

Brian Potts, a commercial litigator with Husch Blackwell and co-founder of Arbitrus.ai, emphasizes the importance of embracing AI: “I truly believe that the legal professionals who do not lean into AI will receive left behind—and quickly.”

The Future of AI in Legal

The legal industry’s journey with AI is still in its early stages. As AI technology continues to evolve and concerns around security and reliability are addressed, we can expect to see even greater integration of AI into legal workflows. The shift towards enterprise-level solutions, coupled with a growing emphasis on AI literacy, will be critical for unlocking the full potential of AI in the legal sector.

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