Alex Denne

Head of Growth (Open Source Law) @ ��Ƶ | 3 x UCL-Certified in Contract Law & Drafting | 4+ Years Managing 1M+ Legal Documents | Serial Founder & Legal AI Author

Efficient Training and Deployment of Legal AI

18th December 2024

3 min

Research

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]

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