PRACTICE AREAS
FUNDAMENTAL RESEARCH
Deep Law could allow you to make the best decisions at all times and in all circumstances. This technique could be optimized by Deep Reinforcement Learning. Evidently, Deep Law could not replace your lawyer.
This extremely fast and sharp learning (Self-Play) could ensure a maximum support of complex problems. Opportunities for agent analysis recall the performance of AlphaGo.
Deep Law
AI 101 : OVERVIEW OF AI
Conferences & Workshops
Encompassing all facets of AI, the Montréal.AI Academy introduces, with authority and insider knowledge: "Artificial Intelligence 101: The First World-Class Overview of AI for the General Public".
This AI 101 tutorial harnesses the fundamentals of artificial intelligence for the purpose of providing participants with powerful AI tools to learn, deploy and scale AI.
It's also an opportunity to present our Deep Law project in fundamental research.
ETHICS & GOVERNANCE
Impacts of Artificial Intelligence on society
Montréal.AI Ethics and Governance Group.
Helping to shape discussions about policies at the intersection of AI, Ethics and Governance.
Algorithmic justice is certainly an exciting subject that deserves special attention to avoid bias.
The responsibility of practitioners in the sector is engaged to avoid discrimination.
VIRTUAL ASSISTANT
Optimal research
The body of documentation is vast, information sources are heterogeneous, tags are often in HTML and without a logical structure. The documentation is thus polysemiotic.
Deep Learning could allow to do a really smart and not just syntactic research particularly in AZIMUT-SOQUIJ, CIDREQ, PPSA, The Land Registry, in the data of The Superintendent of Bankruptcy, etc. The preparation of legal documents and procedures could also be possible.