# Improving Current XAI Methods for 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.

**Improving Current XAI Methods**

Explanation: Sometimes an LLM's answer changes based on 'how' you ask them to explain their thinking. We need to learn, based on all the different ways of asking them to explain their thinking, which ones are most reliable.

**Challenge:**

Limitations of current attribution methods

**Research Direction:**

Develop aggregation techniques and focus on model robustness

**Challenge:**

Noisy results in synthesis-based explanations

**Research Direction:**

Develop quality metrics and apply across diverse domains

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