It may be hard to believe, but in today’s era of rapid technological innovation, attorneys and business people still review contracts manually; page by page, clause by clause. For large collections of documents, conference room tables are still utilized to search and compare clause and language changes in a highly inefficient manner.

While there have been recent technology developments to create new contract documents and develop a library of “model clauses”, the current need to identify and analyze collections of existing documents for regulatory, security, privacy, M & A and Real Estate due diligence, etc. has been overlooked.

Most corporations have some type of Contract Management System (CMS) platform that allows basic search capabilities for information created on that system. However, as is often the case, a significant portion of the documents under the corporation’s control originated from third parties, in various formats such as paper, PDF, etc. CMS platforms were not designed to search and analyze text information at the clause level. Accordingly, the process of locating specific collections of contracts and identifying specific clauses for comparison and analysis is still an expensive, inefficient process seeking a much better solution.

Exego Intelligence, by Planet Data is a “disruptive technology” that makes the current manual methods of contract analysis obsolete. Exego Intelligence allows dramatically faster, more accurate and less costly analysis and comparison of contracts and transactional documents. Exego Intelligence was built upon Planet Data’s multi-patented platform, which has been utilized to completely and accurately process hundreds of millions of documents for e-discovery, investigations and bankruptcies over the past decade. Exego’s “in line text extraction” technology combines differentiated data extraction ability with advanced analytics to enable searching across documents with similar text and as well as text that is conceptually equivalent in meaning.

In the current global environment of massive data creation and increasingly more stringent regulatory and compliance requirements targeting Security and Privacy, there is an identified need by corporations to efficiently reduce legal and business risks. Regulations such as the EU enacted GDPR, HIPAA and the California Consumer Privacy Act (CCPA) impose substantial penalties for the failure to adequately monitor and revise Third Party Vendor Agreements that should contain Privacy and Security requirements for issues such as data hacking prevention and breach notification protocols.

The traditional methods of contract analysis can entail first searching for specific language at the document level utilizing simple text queries and then manually locating the clauses within a potentially large document. If the mission is to identify multiple clauses (either exact or similar language) that exist within a corpus of contracts, the task becomes far complex. Exego Intelligence quickly locates specific language and multiple clauses within a corpus of documents. Identical and similar language across clauses and documents can rapidly be analyzed to ascertain defined modification or consistency requirements. The Exego Intelligence process allows all the information to be evaluated in a fraction of the time of manual methods.

Exego Intelligence has also integrated advanced analytic searching technology that enables the identification of language that is not textually similar but address the same issues. This feature is especially applicable when the contract collection contains documents that were drafted by third parties who use different language to express similar meanings. A CMS would not identify this information which might eventually be located through additional time efforts.

Exego Intelligence is a user-friendly platform that enables the user to be up and running, analyzing contracts very quickly.

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This post was authored by Howard Reissner, CEO of Planet Data, who through Planet Data developed the Contract Analysis Platform, EXEGO Intelligence.