Leading document and contract technology companies, Zuva and Litera, have announced the development of a comprehensive document classification taxonomy destined for legal professionals and companies. Remarkably, these two companies have decided to contribute their much-sought-after creation to the SALI Alliance—an assembly focused on standardizing legal data—making it accessible on an open-source basis.
The developed document classifier is part of the partnership, featuring a substantial 225 document classifications. This vast innovation is available immediately via Zuva’s API.
Zuva, previously a segment of the avant-garde AI contract analysis company, Kira, established its own identity after its parent firm was acquired by Litera in 2021. Now, Zuva offers contract analysis AI through an embeddable API, extending its services to law firms, corporations, and others looking for native application incorporation.
Noah Waisberg, Zuva’s CEO and the original co-founder and Chief Executive of Kira, shared that this classification’s development is a fruit borne from an endeavor that commenced at Kira in 2014. With Litera’s acquisition of Kira, both parties agreed to collectively propel classification development.
For further exploration into the SALI Alliance, you can tune into the detailed LawNext Podcast, featuring Damien Riehl discussing the Alliance and its role in setting data standards for the legal industry.
As law firms and corporations across the globe grapple with multiple systems for contract analysis and document management—often plagued by divergent taxonomies—the need for a standardized solution becomes undeniable. This fragmentation results in a dearth of standardization and interoperability—a critical issue that Zuva and Litera aim to tackle with their open-source taxonomy.
Aside from Zuva providing the classifier starting today, Litera is set to integrate it within Kira at a future time. The taxonomy, according to Waisberg, can be particularly beneficial in bringing order to document management systems across law firms and corporations, despite the challenge of classifying documents.
Technology, perceived as the best approach to automated tagging, has thus far been limited in capacity, with most systems capable of identifying only about 25 document types. But with Zuva’s API and the new classification taxonomy, automatic document identification within a Document Management System (DMS) or other interfaced systems can now be conducted at a level of granularity never seen before.
Toby Brown, the president of the board of The SALI Alliance, praises Zuva and Litera’s contribution as critical for optimizing efficiency and fostering global collaborations. Equally enthusiastic, Damien Riehl, a prominent member of the SALI leadership team, touts the importance of SALI’s classification scheme in ensuring the safe use of generative AI in legal contexts.
More details can be found at the original article found at: lawnext.com.