Heretik has been acquired by Relativity, a legal and compliance technology company. Continue to make smarter decisions with your contract data, now amplified by the resources, expertise, and power of Relativity.
Heretik’s number one objective is to provide our clients a toolkit that allows for the right amount of flexibility within a repeatable and scalable framework to tackle large document review projects.
There is no easy button for getting to truly structured contract data. It’s a combination of machine learning and a best-in-class document review experience. This last pillar has been missing in the market for years in contract review but has been evolving rapidly in eDiscovery with Relativity at the forefront. Heretik is the only contract review solution that is built on top of a leading document review platform that excels in security, scalability, and configurability.
Knowing which contracts that are coming up for renewal in the next six months should be as easy as clicking on a pie chart or filtering a list. Any analytics tool that solely identifies blocks of text in a contract does not get you here. Heretik is the most complete and end-to-end solution for efficiently transforming contracts into truly structured data in the form of robust, comprehensive, and discrete data types.
In a world of rapid digitization, tomorrow’s worries are quickly becoming today’s crises, resulting in companies continuing to struggle with digital organization. Easily manage the collection, identification, and processing of vital documents scattered across multiple repositories with the help of forensic teams.
The sooner teams can begin analyzing documents, the sooner expert problem solvers can add their contributions. Teams no longer need to wait for training rounds or seed sets to begin analysis. Start working with the documents in minutes and respond to the results in real time without needing new data sets or models.
Heretik can been used for a variety of use cases across regulatory response, corporate transactions, and contract data management.