Law firms are faced with large amounts of unstructured data in any given dispute. There is a need to automate workflows to enable an efficient document review process. Artificial Intelligence in general, and Natural Language Processing (NLP) in particular, can help lawyers not only find key information quickly, but also bring relief to mundane and menial work that previously filled up lawyers’ days.

The Case

In an international corruption case, a major law firm had to review 17,000+ emails, including attachments, to single out important correspondence between key stakeholders. The emails consisted of multiple languages, adding further challenges to meet already tight deadlines.


Anzyz’ powerful self-learning AI algorithm was trained on the client’s dataset, enabling an accurate contextual understanding of the content. Secondly, with the help of AnzyzLegal, the law firm’s eDiscovery specialists were able to directly query the case files with the help of AI. The tool allows legal reviewers to easily build custom-made conceptual searches on the go, enabling powerful AI searches to make sure all possibilities have been exhausted and no stone is left unturned in the search for evidence.


In summary, by the help of AnzyzLegal, the law firm’s reviewers were able to quickly and accurately identify cruicial correspondance hidden deep inside the unstructured data. Relevant email attachments were also identified and submitted as part of the consolidated findings. Through the unique integration of “human-in-the-loop”, which allowed domain experts to directly query the case files with the help of AI, the tool proved to be very valuable to the legal reviewers, aiding them in easily managing the large dataset.