An Australian Sovereign Legal Deeptech company using explainable analytics to make legal outcomes fairer, faster, and clearer, for the people who need them most and the professionals who serve them.
Our mission is to make justice more accessible and more transparent. We do it by turning Australia's own legal record of case law, legislation, and procedural rules into evidence any matter can stand on.
Not to replace lawyers or judges, but to give them, and the people they serve, a clearer view of what the law actually says and what courts have actually done. A survivor seeking a protection order, a family fighting over an estate, a solo practitioner buried in research, a court managing an impossible list: all deserve the same clarity.
Algorithmic Law is a new discipline at the meeting point of data science, legal theory, and ethical governance, pioneered through our CEO Mona Chiha's PhD candidacy at UTS. It's not automation for its own sake. It's explainable, context-aware legal analytics that respects the complexity of legal reasoning and the human stakes behind every outcome.
Machine learning does the heavy lifting; human oversight and ethical guardrails keep it honest. Every insight can be traced back to the legislation, precedent, and court reasoning it came from.
✓ ESIC-approved: a confirmed world-first in Algorithmic LawYour legal data is a national asset. We treat it that way. JurisTechne works only with Natural Legal Sets under permission from their sovereign owners, sourced directly, with no middleware, no third-party layers, and no data leaving the country.
Led by our founder, mentored by the bench, and built with academics from UTS and Macquarie University across law, data science, and finance.
We measure success by who can reach justice, not just who can afford it.
If we can't show our working, we don't ship it.
The analytics inform; people decide. Always.
Sovereign, sourced, and secure. No shortcuts.