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Our mission is to harness the power of Ethical AI development and data analytics, empowering law firms with unparalleled insights and precision in legal research. Our commitment is to push the boundaries of tech in the legal domain, ensuring that every claim is addressed with the utmost accuracy and efficiency, making justice more accessible and transparent.
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What is Algorithmic Law?

Algorithmic Law is an emerging discipline at the intersection of data science, legal theory, and ethical governance, focused on developing AI systems that support and enhance legal decision-making through Mona Chiha’s ePhD Proposal at UTS. It represents the convergence of advanced machine learning techniques, diverse and credible legal data sets—including case law, statutes, procedural rules, and principles of natural law—with rigorous human oversight and ethical frameworks to ensure fairness, accountability, and transparency in legal processes.

Unlike traditional legal automation, Algorithmic Law is not merely about efficiency; it is about building explainable, trustworthy, and context-aware AI that respects the complexity of legal reasoning, the nuances of justice, and the societal impacts of legal outcomes. By integrating interdisciplinary research and responsible AI practices, Algorithmic Law seeks to augment human judgment, improve access to legal insights, and reinforce the legitimacy and integrity of institutions in a digital age.

The first in the world to create algorithmic law.

We’ve officially received ESIC approval, confirming our global first: combining technology and law to pioneer algorithmic law. This recognition proves we are leading where no one else has gone before.

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FAQs: Step Inside the Glass Box of Legal AI

Unlike black-box generative AI, JurisTechne doesn’t pretend to be a lawyer. We provide transparent, explainable insights drawn from trusted legal data. You bring the strategy. We bring the evidence. Together, we power stronger outcomes.
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