Generate a list of accepted terms and exceptions. Move the business forward by focusing on disparities.
Contract reviews and long tendering times are reduced by only negotiating over disparities since sensitive clauses are automatically pinpointed no matter the industry terminology or localized usage of language.
Documents are ingested, extracting and indexing content and text information which is then compared to a given standard, list or dictionary of terms that need to be ignored or flagged.
The selection is done using varied Natural Language Understanding tools that can process language specificities so data becomes language agnostic, accepting idioms, paraphrasing and industry terms.
Financial Institutions and Banks can apply it to list existing contracts with diverging terms compared to current law requirements.
Legal departments can quickly digest the standard terms within contracts and pinpoint conflicting agendas so your team can focus on elaborating only those specific clauses.
In Engineering projects it can read through proposals helping to flag terms that could limit the project based on historical data so both parties quickly negotiate the discrepancies.
Customization through comparison. Requests are matched with given standards.
Turn rich indexes into automated processes. Reduce repetitive workload using historical data.