Organizations may handle thousands of contracts each year, and each contract is an origin of relevant information: for example, how the contract partner manages issues such as remedies and rights, or how long it takes one partner to execute a given deal. The ai-enhanced application can mine these contracts for data, see patterns in the data, and apply them to produce reports on specific matters.

CLM Data Storage

Indeed, even present-day CLM software feels somewhat like burrowing through a colossal file organizer, particularly when you’re just halfway beyond any doubt that the record you require is inside. Customarily, most CLM applications have had just restricted inquiry abilities that require strict parameters for the question to effectively locate the asked for the record.

Now, any browsing functionality worth its salt requires to deal with what AI researchers call the “Paris Hilton dilemma,” in which the search engine needs to resolve whether the user is looking for hotel rooms in Boston or news about the socialite heiress. AI can drastically enhance CLM database searches using methods from natural language processing, and information about users themselves, in order to fully understand the definition and context of each search.

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