Model-driven and Computational Law

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“Legal Knowledge Access Instrumentation” project at Revera LegalTech Battle Final

Yehor Churilov and Dmitry Lagoda presented Legal Knowledge Access Instrumentation project on the final pitch session of Revera LegalTech Startup Battle. The judges categorized the project as a “deep tech” project. No prizes them though, but a special gift from the sponsors for the “most advanced and sophisticated idea”. The key idea was to develop and sell programmatic instruments that cut down costs of accessing and manipulating legal knowledge, buried in legal texts.

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“Legal Knowledge Access Instrumentation” at Revera LegalTech Battle interim pitch session

One of the belorussian “Big Law” firms, Revera, arranged a great LegalTech event: the start-up battle. Yehor Churilov and Dmitry Lagoda presented Legal Knowledge Access Instrumentation project on the interim pitch session. The key idea was to develop and sell programmatic instruments that cut down costs of accessing and manipulating legal knowledge, buried in legal texts.

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“Computational Law as an Engineering Discipline” published in Recht Innovative 01/2019

https://rechtinnovativ.online/ri-01-2019-churilov-computational-law Computational law: research discipline and a group of knowledge-centric technologies to support law and jurisprudence, with the following objectives: enable representation of legal and other relevant domain knowledge as Turing computable functions; enable analysis, algorithmic inference, and synthesis of legal knowledge; enable interpretable, actionable output in a form suitable for use by humans or machines.

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Computational Law as an Engineering Discipline

Minsk Knowledge Office. Feb 23, 2019. Lecture and discussion. Computational law: research discipline and a group of knowledge-centric technologies to support law and jurisprudence, with the following objectives: enable representation of legal and other relevant domain knowledge as Turing computable functions; enable analysis, algorithmic inference, and synthesis of legal knowledge; enable interpretable, actionable output in a form suitable for use by humans or machines. Computational Law as an engineering discipline