Title:
AI Assist ARP - AI-powered Intake and Diagnostic Tool for Personal Legal Services
Agreement Number:
1027899
Agreement Value:
$71,000.00
Agreement Date:
Jan 27, 2025 - Sep 12, 2025
Description:
Development of an AI-powered legal intake and diagnostic tool designed to streamline user intake across various legal contexts, starting with Family Law as the MVP.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Montreal, Quebec, CA H3B 5E8
Reference Number:
172-2024-2025-Q4-1027899
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
703745307
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 56 days.
Amendment Date
Aug 20, 2025
Recipient's Operating Name:
Leya Technologies
Recipient's Legal Name:
14364449 Canada Inc.
Federal Riding Name:
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number:
24077
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.