Artificial Intelligence (AI) has become one of the most revolutionary technologies of the twenty-first century, with increasingly widespread applications across the legal system, including the administration of justice, legal research, law enforcement, judicial decision-making, case management, risk assessment, sentencing, bail determination, and more. Although AI promises to enhance efficiency, consistency, and access to justice, its growing use also raises significant legal and ethical dilemmas, notably algorithmic bias. Algorithmic bias arises when an AI system produces systematically unfair, discriminatory, or inaccurate results because of biased training data, flawed algorithms, human biases, incomplete datasets, or structural inequalities in the society from which the data is sourced. Deploying biased algorithms in legal decision-making is particularly alarming, as the outcomes can directly affect fundamental rights, liberty, equality, privacy, and access to justice. This research explores the relationship between Artificial Intelligence and algorithmic bias in legal decision-making, focusing on Nigeria, India, and selected jurisdictions, including the United States, the European Union, and the United Kingdom. It assesses whether current constitutional, statutory, judicial, and regulatory frameworks can mitigate the risks associated with AI-assisted legal decision-making. The study compares transparency, explainability, accountability, data protection, discrimination, human oversight, and the right to contest automated decisions. It also examines the consequences of algorithmic bias for fundamental rights in the constitutional contexts of Nigeria and India and reviews relevant judicial responses and emerging international regulatory strategies.