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Practical workshop for the legal sector 

Date: Thursday 26th September 2019
Venue: The Hartree Centre, Sci-Tech Daresbury, Cheshire, WA4 4AD
Registration: 8.30am – 10.30am 

Free to CNWLS Members

Are you using AI or data science to enhance your legal practice? Want to increase productivity, validate decisions and save time and money? Not sure where to start or where you could go next?

This workshop focuses on how Artificial Intelligence (AI) and Data Science can enhance the legal sector, where we will walk you through our established tools and techniques across a number of key legal tasks.  These include building systems that learn to extract information from case documents, automated redaction of specific elements of text, modelling regulations and directives for compliance and other complex tasks, and automated decision-making systems that model the judgements of domain experts.

Example applications could include:

  • Removal of personal identifiable information to enable GDPR compliance
  • Legal compliance with specific business practices, such as customer checking for financial industries
  • Analysis of existing documents to check compliance with new regulations or legislation within a sector i.e. new import rules for goods from the EU

As experts in data science and artificial intelligence (AI) technologies, we are experienced in combining techniques such as machine learning, natural language processing and knowledge engineering technologies to draw insights from all forms of structured and unstructured data sets of all sizes. This could be images, documents, databases, social media feeds, websites and more.

About the Hartree Centre
The Hartree Centre sits within the Science and Technology Facilities Council (STFC) and UK Research & Innovation, which falls under the Department for Business, Energy & Industrial Strategy Our remit from the UK Government is to accelerate the adoption of High Performance Computing, Big Data and Cognitive Technologies to UK businesses.

High performance computing – involves modelling and simulation to create a digital version, a digital twin, which enables us to make predictions and optimise designs and by doing so, we can dramatically reduce the design phase and time to market.

  • Big data analytics – involves taking unstructured data, whether its geospatial information, text or streaming data from sensors, and creating actionable insight from that data.
  • Cognitive technologies – are a learning and adaptive form of Artificial Intelligence.  They enable machines to interact with humans in a more natural way, they learn at scale and reason with purpose. Cognitive technologies such as machine learning and deep learning are key to drawing rational conclusions from the right data, so you can implement decisions with confidence.   
  • We are 100% focussed on collaborative R&D..
  •   We have over 170 computational scientists, which include; engineers, chemists, life scientists and mathematicians who have a real understanding of the underlying physics and science behind challenges, and know how to use a supercomputer.
  •  We also have software developers who are essentially optimising computer scientists, who write and optimise codes to be efficient on our machines and the data scientists who are able to manage and draw insight out of large unstructured data sets.
  •  We can facilitate access to Government grant funding, which can finance between 50% and 70% of the collaborative R&D costs.

Details and bookings
For more information, click here