Women in eDiscovery™

International Chapter Director

Reveal

Reveal is the industry’s only eDiscovery platform powered by artificial intelligence. As a cloud-based software provider, Reveal offers the full range of processing, early case assessment, review, infrastructure and artificial intelligence capabilities. Reveal clients include law firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents. Featuring deployment options in the cloud or on-premise, an intuitive user design, multilingual user interfaces and the automatic detection of more than 160 languages, Reveal accelerates legal review, saving users time and money.

Vice President EMEA

Women in eDiscovery - London Chapter

Women in eDiscovery (WiE) is a 501(c)(6) non-profit organization that provides educational opportunities regarding technology in the legal industry to its members. The organization offers networking and leadership avenues, promotes personal and professional growth of women, and donates mentoring and charitable contributions to its communities. WiE incorporates a broad network of women volunteers who uplift and support each other and work together to recognize and honor each other’s achievements. WiE is comprised of professionals within the legal industry including attorneys, litigation support professionals, paralegals, legal IT staff, court reporters, consultants, recruiters and vendors.

Since its inception in 2007, Women in eDiscovery has grown globally with thousands of members and 31 chapters. The Executive Board has appointed Regional Directors that work in conjunction with each member elected Chapter Board.

Chapter Director

Nuix

Strategic Account Director

Millnet

eDiscovery Advisor & Business Development

Deloitte

Assistant Manager - Forensic Technology

MD5 Ltd - evidence you can trust

Digital Forensic Investigator

I am currently the Vice President of Business Development for Reveal Brainspace in EMEA. 

A dedicated individual with excellent analytical and interpersonal skills developed through knowledge of technology and professional experience within the eDiscovery industry, making sure to network and build good and long standing relationships where possible, always going the extra mile. Adaptable, proactive team player who works efficiently under pressure whilst maintaining a positive attitude to work. Highly organised, methodical with a can do approach to life; confident in working independently or as part of a team, adopting a flexible, pro-active approach to change seeking new challenges where existing skill set can be built on for a fresh outlook and an opportunity for development. 

Samantha Mather

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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