Hire Research Internship (Postgraduate/Doctoral) - Evaluating Commercial Understanding in AI-Assisted Contract Management
About the Role We’re looking for a postgraduate or doctoral intern to tackle an emerging problem at the intersection of AI, legal technology, and commercial strategy. Most AI contract analysis today evaluates whether a system can recognize clauses, spot deviations, or flag legal risks. But in real enterprise negotiations—especially in sectors like Oil & Gas, Energy, Infrastructure, and Aerospace—contracts are more than legal documents. They encode commercial relationships, risk allocation, incentives, and strategic intent. The question we’re asking is: Can an AI system truly understand the commercial dynamics of a contract, not just its legal provisions? And more importantly: How should we evaluate that understanding? This is not a traditional NLP benchmark problem. It’s a research challen
Could not retrieve the full article text.
Read on discuss.huggingface.co →discuss.huggingface.co
https://discuss.huggingface.co/t/hire-research-internship-postgraduate-doctoral-evaluating-commercial-understanding-in-ai-assisted-contract-management/174788Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
modellanguage modelbenchmark
7 tips for rationalizing your application portfolio
A strong application portfolio is an essential IT resource. Ensuring that the portfolio is ready to meet enterprise operational and financial needs is essential to long-term business success. Unfortunately, applications tend to accumulate over time, leading to bloat that creates confusion, undermines efficiency, and introduces risk to the organization . Application rationalization streamlines an existing application portfolio to improve efficiency, reduce complexity, make room for innovation, and lower the total cost of ownership (TCO) through a specific set of processes. Application rationalization is a daunting task for any CIO. Here are seven tips that can make the process faster and easier. Be methodical and make use of metadata “Application management is periodically necessary to redu

The invisible AI adding value to World2Meet
As prevalent as AI implementation is, not all organizations approach it in the same way, or to the same degree. Many are still testing the technology, with specific and limited use cases, while others have integrated it in a way that’s transformative. The latter is the case for World2Meet (W2M), the travel division of global tourism company Iberostar Group, and a finalist in the Best AI and Intelligent Automation Project category at last year’s CIO 100 Awards for its Intelligent Process Automation (IPA) initiative. Seeing is believing W2M CIO Joan Barceló says IPA is essentially the invisible AI that’s truly delivering value. Launched in 2023 with the goal to explore everything that could be automated and equipped to gain efficiency and productivity, IPA began to deliver results in 2025.

How analytics and AI are reshaping the boundaries of IT leadership
IT leadership is under more pressure than ever. As analytics and AI become embedded in everyday operations, expectations of CIOs are expanding, often without clear agreement on where IT leadership begins and ends. Many organizations assume that strong IT leadership will naturally extend to analytics and AI. In practice, that assumption no longer holds. The challenge is not that IT leadership has become less important, but that it is no longer sufficient on its own. To understand why, it helps to be clear about what has changed, what has not and where the boundaries of IT leadership now sit. What hasn’t changed about IT leadership At its core, IT leadership remains about the enablement and stewardship of the organization’s technology environment and capabilities. In practice, this has alway
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models
State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models
Five takeaways for AI model developers, researchers and users Vector Institute’s first State of Evaluation study, developed by Vector’s AI Engineering team, shines new light on the evaluation and benchmarking [ ] The post State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models appeared first on Vector Institute for Artificial Intelligence .
Vector Institute Unveils Comprehensive Evaluation of Leading AI Models
At a glance: TORONTO, ON, April 10, 2025 — Canada’s Vector Institute has unveiled the results of its independent evaluation of leading large language models (LLMs), offering an objective look [ ] The post Vector Institute Unveils Comprehensive Evaluation of Leading AI Models appeared first on Vector Institute for Artificial Intelligence .
Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning
How do humans and machines build models to enable problem-solving and innovation? This is the question that has shaped Kelsey Allen’s career. It’s guided her from high-energy physics to machine [ ] The post Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning appeared first on Vector Institute for Artificial Intelligence .

Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!