Have you ever felt exasperated by the time you spent searching for an information that you know is present in a data set?
Whether it is in publicly available data, in your internal knowledge or in the factual documentation accompanying your client cases, time is precious and struggling to find rapidly the information can become nerve-racking, especially when you need to move fast, answer your customers inquiries or deal with multiple client cases.
Worst, existing tooling might not be powerful enough or too cumbersome to implement to help you find the critical information.
EisphorIA has built on top of the latest breakthroughs in Natural Language Processing/Understanding (NLP/NLU) an end-to-end SaaS solution which assists lawyers from day 1 to win costly time in their research work. Our highly secure, easy-to-use, searchable and collaborative platform puts all available data to work in hours, not weeks!
Our proprietary technology includes:
Ever dreamed to proceed searches in a defined data set, supported by a powerful search solution? SearchMyDoc is deployable on any data sets you define and will guide you to the critical information.
Do you need to anonymize or pseudonymize documentation for GDPR and/or confidentiality reasons? With CleanMyDoc, fully automated, you accelerate your anonymisation and pseudonymisation tasks
Transformation for a reputed law firm in 24 hours of a litigation pdf-dataset (+10k documents) into an optimal and dynamic library with best-in class AI search engine and collaborative features.
Set-up of a tax law library for tax experts, empowered by AI algorithms, grouping more than 300k documents from relevant public websites (Fisconet, La Chambre/De Kamer, Eur-lex, Curia,etc).
Set-up of a competition law library at the request of competition lawyers, empowered by AI algorithms, grouping more than 150K documents from relevant public websites ( Eur-lex, Curia, AdC, CMA, ACM,etc).
As a response to multiple research groups requests, EisphorIA has deployed its NLP-solution and allowed researchers to navigate in more than 95k of Covid-19 related scientific papers, being assisted by artificial intelligence.