Small Language Models In Legal Practice: The Strategic Implementation Guide For In-House Teams

INTRODUCTION

The ongoing deployment of the Artificial Intelligence (AI) and Natural Language Processing (NLP) including GPT-5, Claude and PaLM 2 models have caught public's eye for their capability in automating complex functions. These extensive models are built on parameter counts spanning from billions to trillions to exhibit ability for comprehending human-like texts and generate creative solutions to intricate problems.

While these Large Language Models (LLMs) continue to dominate the industry, the market is now seeing the emergence of smaller advanced models, known as Small Language Models (SLMs), inclined towards solving domain-specific legal problems. As the discussion around SLMs continue to gain momentum, it becomes crucial to understand its influence on legal operations beyond the technical lens.