Gemini-3 is a leading AI model that excels in various legal benchmarks, demonstrating strong factual recall and legal reasoning across multiple jurisdictions, but it exhibits a tendency towards confident hallucinations when uncertain. The model performed well in assessments like LegalBench and Indian Law QA, showcasing near-perfect accuracy in statutory recall and binary legal judgments, but it struggled with tasks requiring intricate reasoning, such as the GreekBarBench and Wilful Misconduct tests. Despite its impressive ability to apply legal reasoning and handle complex legal queries, Gemini-3's overconfidence and occasional misalignment with binding precedents indicate the necessity for human oversight in its applications. Its performance highlights the potential of AI in legal contexts, yet underscores the critical importance of ensuring accuracy and reliability to avoid misleading outputs. Aggregate feedback rates the model's capability highly, suggesting it is on the cusp of bridging the gap with human legal practitioners, albeit with a cautionary note on its reliability.