Search Results for author:
Found 7 papers, 3 papers with code
GPT Adoption and the Impact of Disclosure Policies
Generative Pre-trained Transformers (GPTs), particularly Large Language Models (LLMs) like ChatGPT, have proven effective in content generation and productivity enhancement.
Can AI expose tax loopholes? Towards a new generation of legal policy assistants
The legislative process is the backbone of a state built on solid institutions.
Collaboratively adding context to social media posts reduces the sharing of false news
We build a novel database of around 285, 000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination.
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains
In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i. e. contexts).
JuriBERT: A Masked-Language Model Adaptation for French Legal Text
Language models have proven to be very useful when adapted to specific domains.
Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning
Most prominent research today addresses compliance with data protection laws through consumer-centric and public-regulatory approaches.
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France
Artificial Intelligence techniques are already popular and important in the legal domain.
