Dec 18, 2024
3 min

Limited AI Customization for Niche Practice Areas at Small Law Firms

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.

Challenge: Limited Customization for Niche Practice Areas

Until AIs are fine-tuned on practice area and domain specific knowledge, firms and sole practitioners specializing in niche practice areas may find existing AI solutions inadequately tailored to their specific needs.[151]

"Training Legal AI software to meet your specific requirements and align with your corporate governance policies is a complex and time-consuming process. It demands considerable time, commitment, and analysis to reach a point where you can confidently trust the process. Additionally, it necessitates input from both legal and commercial business units to guarantee its effectiveness for all parties involved. While it can be a valuable tool once fully implemented, it is important to recognize that this does not occur instantaneously."

Aleksandra Kozikowska, Solicitor (Construction and Engineering), UK

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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