When processing syndicated loans, it is often the case that relevant information can only be found in in-text references that, more often than not, reference data in other documents.
It is for this very reason that Fintep has invested time and efforts developing cutting edge technology to be able to properly follow a trace of references across a multi-type legal document environment. Working with open source technologies and in-house build training datasets, we have successfully specialised our probabilistic models to work with legal language, obtaining a high degree of accuracy in nested data.
AI and automation disruption are gaining ground in the syndication arena, and with this technology Fintep will get a solid differentiate value added to our clients.
It is for this very reason that Fintep has invested time and efforts developing cutting edge technology to be able to properly follow a trace of references across a multi-type legal document environment. Working with open source technologies and in-house build training datasets, we have successfully specialised our probabilistic models to work with legal language, obtaining a high degree of accuracy in nested data.
AI and automation disruption are gaining ground in the syndication arena, and with this technology Fintep will get a solid differentiate value added to our clients.