# Transformer Architecture Dominance in Legal NLP

> 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 .

**Author:** Alex Denne  
**Category:** Insights  
**Published:** 2024-12-18  
**Reading time:** 3 min

**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](https://www.genieai.co/blog/legal-ai). Please download the full report to check any citations.

**Transformer Architecture Dominance**

77% of businesses using NLP expect to increase their investment in NLP.[64] The transformer architecture has continued to be the backbone of most state-of-the-art NLP models:

 • Improved Attention Mechanisms: Researchers have developed more efficient attention mechanisms, allowing for processing of longer sequences and better handling of contextual information.[65]

 • Sparse Transformers: These models have gained traction, offering comparable performance to dense transformers while requiring less computational resources.[66]

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