18th December 2024
3 min

Concerns and Limitations of Legal AI for In-house Teams

Note: This article is just one of 60+ sections from our full report titled: The 2024 Legal AI Retrospective - Key Lessons from the Past Year. Please download the full report to check any citations.

B. Concerns and Limitations for In-house Legal Teams

The adoption of AI in the legal industry, particularly for in-house legal teams, presents both significant opportunities and notable challenges. While AI offers the potential for increased efficiency and cost-effectiveness, it also raises important concerns that must be carefully addressed.

"In my opinion, in-house lawyers face significant challenges in adopting legal technology, largely because the tools designed for law firms do not address their unique operational needs. In-house teams might benefit from hiring legal operations professionals who can bring the necessary expertise in both legal and technology domains. This, I think, is a pivotal step toward overcoming the barriers to technology adoption in the in-house legal environment"

Frederick Chan, former GC (Technology and Innovation), Canada

Alex Denne
Advisor
Alex Denne, Head of Growth (Open Source Law) at Genie AI, is a legal tech leader and serial founder with over a decade of experience driving innovation and making legal services more accessible. Since joining in 2021, he has scaled the platform from 200 to over 120,000 users, combining deep contract law expertise with a data-driven, open-source approach. He is passionate about democratizing legal knowledge through AI, backed by strong academic credentials and experience leading major product and innovation initiatives.
Alex Denne, Head of Growth (Open Source Law) at Genie AI, is a legal tech leader and serial founder with over a decade of experience driving innovation and making legal services more accessible. Since joining in 2021, he has scaled the platform from 200 to over 120,000 users, combining deep contract law expertise with a data-driven, open-source approach. He is passionate about democratizing legal knowledge through AI, backed by strong academic credentials and experience leading major product and innovation initiatives.

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