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Using word vectors to enable better search in our legal products


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One of the areas that can greatly improve the customer experience is a search that returns relevant content.
In this session, Hans presents the most current results on his research to extract a keyword vocabulary and use vectorized representations of these words to enable lawyer customers to find the content that helps them do their job.

Published in: Data & Analytics
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Using word vectors to enable better search in our legal products

  1. 1. 1.0 Relevant legal information in context AI at Haufe Lawyers
  2. 2. • range of new services • value creation process The use of the opportunities and the adaptation of the technology could be critical for survival in the market. How relevant is Artificial Intelligence for us?
  3. 3. opportunities • quality and efficiency of case processing can be significantly increased • new consulting products can be offered Artificial Intelligence For Lawyers
  4. 4. OBJECTIVES technologie word2vec use case selection search Our Current project together with TUm
  5. 5. Searcher intent Query context Conceptual match SEMANTIC Search
  6. 6. • vector representations of words • unsupervised learning • sematic relationships (k- m+w=q) • cosine similarity for comaprison word2vec
  7. 7. RESULTS
  8. 8. 15 people so far Attendees Experience probands
  9. 9. 15 people so far Attendees Behavior
  10. 10. SUS
  11. 11. WORD2VEC SENT provides the best results participants confirm the quality of the search results quality measured with the ground truth
  12. 12. • selection search is good as starting point • but users also want the ability to control the search results • 90% have said that they would continue to use the selection search in the future. Ovservations
  13. 13. best search results for his question what is not found is not there Value FOR OUR Customers
  14. 14. In exploration stage TUM collaboration accelerated the entry We should stay on it. conclusion
  15. 15. Questions? Thank you very much for your attention. Hans.Lecker