Legal AI Challenge

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We are team of lawyers, coders and dummies

Matcha Bubble

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garrilaz

nataliakvlkv

Nowadays, parties to various relationships in different parts of the world resort to arbitration, mediation and other alternative methods of dispute resolution (ADR).

In addition to the professionalism of the chosen candidate (e.g., arbitrator, mediator), independence and impartiality remain key. In order to analyze a candidate for this criterion, legal practitioners spend hours studying social networks, publications, etc. And even that may not be enough, as a position expressed by a person on one of many social media platforms years ago may be relevant but remain unnoticed.

The problem is crucial, since a decision made by a partial arbitrator can be annulled consequently. This was the situation in the landmark case of Chinese swimmer Sun Yang v. Agence Mondiale Antidopage (AMA) and Fédération Internationale Antidopage (FIA). Agence Mondiale Antidopage (AMA) and Fédération Internationale de Natation (FINA): the award was annulled by the Swiss Federal Supreme Court because of the arbitrator's use of abusive language in a tweet towards Chinese citizens. Annulment of the award or replacement and search for a new arbitrator can increase the cost and duration of dispute resolution between the parties, which is important especially in time-sensitive matters (pending athlete decisions, large expensive infrastructure projects) as well as from a financial point of view.

ArbitrAI will automate the process of searching and analyzing candidate profiles, reducing the parties' costs and ensuring a fair and impartial consideration of the case. 

Hackathon version is built using LLM through Relevance AI [[link](https://app.relevanceai.com/form/bcbe5a/f54c8cdf-6920-4a87-9a15-c7e9da33a388)]. 

ArbitrAI will automate the process of searching and analyzing candidate profiles, reducing the parties' costs and ensuring a fair and impartial consideration of the case.

ArbitrAI helps to automate the process of searching and analyzing candidate profiles, reducing the parties' costs and ensuring a fair and impartial consideration of the case.

"Matcha Bubble team on Legal AI Challenge Hackathon"

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