# Supporting Multi-Dimensional Explainability in 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 .

**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.

**Supporting Multi-Dimensional Explainability**

Explanation: Reliability of AI outputs is a function of the different dimensions the AI uses to source its output. Like how a legal case needs to be looked at from criminal law, civil law and constitutional law.

**Challenge:**

Need for comprehensive trustworthiness explanations

**Research Direction:**

Develop integrated trustworthiness metrics

**Challenge:**

Barriers to interdisciplinary collaboration

**Research Direction:**

Foster collaboration through shared resources and training

---

This is the Markdown representation of [https://www.genieai.co/blog/legal-ai-multi-dimensional-explainability](https://www.genieai.co/blog/legal-ai-multi-dimensional-explainability), provided for AI agents and crawlers. The HTML page is canonical. See [/llms.txt](https://www.genieai.co/llms.txt) for the full content map.