AALAP - AI Legal Assistant
Judiciary
Country or Region
India
Sourced From
Partnership on AI: AI Tools for Local Newsrooms Database
AALAP is a specialized AI tool designed to assist with legal tasks in India. It has been trained to handle specific legal functions, like answering questions or explaining legal concepts, using a large dataset focused on Indian law. Aalap is based on a powerful AI model called Mistral 7B, which has been fine-tuned to improve its performance in the legal field. While it's not a general-purpose legal assistant, it works well for the tasks it has been trained to handle, such as explaining legal terms and solving specific problems in Indian law.
Access to Justice and Legal Aid
Legal Research and Information Retrieval
ADELE Pilot Tool
Judiciary
Country or Region
Italy
Sourced From
Resource Centre Cyberjustice and AI by CEPEJ
The ADELE AI tool supports legal research and decision-making in the judiciary. It processes annotated datasets on intellectual property and VAT taxation to predict outcomes of new cases (so far it hinges upon Italian and Bulgarian cases), extract key legal arguments, and build citation networks. This tool aims to improve judicial efficiency, reduce workload, and enhance transparency, while fostering scientific debate on AI's role in the legal field.
Decision Support Systems
Legal Research and Information Retrieval
AI tool for tertiary roads
Public sector
Country or Region
Colombia
Sourced From
Sistemas de decisión automatizada en el sector público colombiano
This AI tool helps users identify and map tertiary roads (smaller rural roads) across a country using satellite images. It processes satellite data to automatically detect and georeference these roads, providing an accurate and up-to-date inventory. Users can then visualize road networks, assess accessibility, and make informed decisions for infrastructure planning and development. By automating this process, the AI reduces the time and cost associated with manual road mapping, supporting more efficient resource allocation for future projects. It ultimately helps improve transportation systems, particularly in rural and underserved areas.