Alex Denne

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

Supporting Multi-Dimensional Explainability in 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.

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

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