A Vice President for Reveal based in EMEA, our team is revolutionising the legal industry with cutting-edge AI technology. We're not just streamlining eDiscovery and Investigations; we're setting new benchmarks for efficiency and accuracy. My role involves leveraging Reveal's AI-driven platform to transform legal workflows for our diverse clientele, which spans law firms, corporations, and government agencies across continents.

As an International Chapter Director with Women in eDiscovery, I champion the empowerment of women in legal tech, fostering a community for growth, networking, and leadership. My expertise in eDiscovery and Investigations backed by multiple certifications in Reveal's technology, enables me to drive innovation and mentorship within this dynamic sector.

Samantha Mather

Reveal

Chief of Data Science and AI

Illinois Institute of Technology

Adjunct Professor

NexLP LLC

Head of Machine Learning

Dieselpoint

Work on a variety of modules for the enterprise search software system Dieselpoint. Design and implementation of the scalable could-based search service Enginez.

Senior Software Developer/Researcher

University of Chicago

Apply  graph-based  and  semi-supervised  machine  learning  methods to language data, in particular to industrial data and industrial applications.

Postdoctoral Researcher

Research Assistant

Accenture Technology Labs

Identify, develop and execute research projects related to information technology, including the areas of Machine Learning, Data Mining, Natural Language Processing, and Information Retrieval. Developing of working prototypes.

Senior Research Scientist

Accenture Technology Labes

Internship in the Machine Learning and Analytics group

Microsoft Research

Internship in the Text Mining, Search, and Navigation group

Palo Alto Research Center

Internship in the Quantitative Content Analysis group

Xerox Research Center Europe

Internship in the Machine Learning for Textual Information Access group

• Significant experience in Enterprise Search, cloud-based applications, Amazon Web Services

• Significant experience in developing and applying Machine Learning & Natural Language Processing approaches in business applications

• Successfully worked on client projects related to product catalog search, document search

• Specialties: NLP, Information Retrieval, Enterprise Search, Cloud-based applications, Machine Learning, Data Mining, Text Mining, Web Mining, Information Extraction, Semi-supervised Learning, Predictive analytics, Text analytics

Irina Matveeva

taplio

The Battle

Samantha Mather

Irina Matveeva

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