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ROSS Cofounder Returns To Legal Tech with Startup Using AI To Surface Judges’ Decision-Making Patterns

Above the Law - Technology

The Toronto-based company recently closed a $2.1 million pre-seed funding round led by two venture capital firms, Maple , which invests in companies with Canadian roots, and Haystack , which invests in early-stage companies. The Toronto-based company recently closed a $2.1 That’s the problem that we are solving with Bench IQ.”

Judge 262
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ILTA publica los nombres de las 5 mujeres más influyentes en Legal Tech en 2020.

ELTA

(Chicago, IL) 2 de marzo de 2020: para celebrar el Mes de la Historia de la Mujer, ILTA se complace en anunciar su lista de Mujeres Influyentes en Tecnología Legal de 2020. Alice estableció el departamento Legal de Tecnología e Innovación en su firma donde están ayudando a remodelar el modelo de negocio en África.

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Fostering FinTech Innovation Through the Creation Of Regulatory Cyber Resilience

Global LegalTech Hub

in the DLT & Crypto-Assets Framework Simona Ramos EU Horizon 2020 MSCA BAnDIT Project: (advanced Blockchain Attacks and Defense Techniques): Grant Agreement 814284* A blockchain is a peer to peer distributed ledger that records transactions between two or more parties in a verifiable and permanent way by storing them into a sequence of blocks.

e-records 130
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ROSS Cofounder Returns To Legal Tech with Startup Using AI To Surface Judges’ Decision-Making Patterns

Legal Tech Monitor

The Toronto-based company recently closed a $2.1 million pre-seed funding round led by two venture capital firms, Maple , which invests in companies with Canadian roots, and Haystack , which invests in early-stage companies. The Toronto-based company recently closed a $2.1 That’s the problem that we are solving with Bench IQ.”

Judge 52
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An Introduction to Humane Technology

Legal Tech Innovation Wales

Whether it’s to share a work event with colleagues, keep up to date with current affairs, or to like your sister’s holiday snaps, the vast majority of us use technology pretty regularly. From machine learning to deep fakes and recommender systems, some technologies are built with the ability to cause more harm than value.