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18th December 2024
3 min

Efficient Training and Deployment of Legal AI

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.

Efficient Training and Deployment

Advancements in model efficiency have been notable:

• Quantization Techniques: More sophisticated methods for reducing model size while maintaining performance.[72]

• On-device NLP: Progress in deploying powerful NLP models on edge devices with limited computational resources.[73]

Alex Denne
Advisor
Alex Denne, Head of Growth (Open Source Law) at Ƶ, 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 Ƶ, 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.

Interested in joining our team?Explore career opportunities with us and be a part of the future of Legal AI.

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