Using Eigen’s NLP platform, you can automate and accelerate the analysis of your documents to identify the appropriate remediation actions required. Enabling you to free up time to focus your efforts on repapering, renegotiating and communicating with the impacted parties.

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Eigen's tailored NLP platform enables you to rapidly analyze documents that may be affected by LIBOR

APPLICATIONS:

Review every contract in your legacy book to identify the necessary remediations for LIBOR

Integrate with your existing document and information management systems to reduce the future cost of data reconciliation

IBOR-related terms

Maturity date

Fallback provisions

QUESTION TOPICS THAT CAN BE ANSWERED

Consent requirements

Customizable fields and questions

EIGEN ENABLES:

5-10x

faster than manual processing alone

Eigen's platform helps you scale-up the process of identifying contracts that are impacted by the LIBOR transition and require remediation.

By using machine learning to process your documents, you can quickly identify the type of remediation needed such as repapering, renegotiating or wind-down.

Eigen automates the document review processes of the LIBOR transition effort, vastly reducing the time it takes to determine the necessary next steps.

You can get up and running immediately with our easy-to-use interface, Eigen Hosted Cloud and the support of our Client Success team.

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Find out more

How Eigen won an FT Intelligent Business Award for their Repapering Technology

How we helped facilitate a law firm's repapering process for the LIBOR transition

EIGEN FOR LIBOR

Identify linked instruments and language to commence transition processes that mitigate conduct risks

Other use cases

Eigen enables clients to focus their time on making faster, more informed decisions, instead of analyzing pages of documents.

Below are just a few of the use cases Eigen can help your business tackle.

CLOs BUY SIDE

Quickly identify key facts about CLO tranches that enable you to build risk and return profiles without reading 400+ pages yourself.

Systematically verify that assets meet the portfolio-level criteria to qualify for Solvency II with minimal expert involvement.

SOLVENCY II

Automatically identify governing law, cross default rights, and restrictions on the transfer of credit to ensure compliance.

QFCs

Automatically verify terms to speed up negotiations and ensure finalized drafts reflect the individual terms prior to signing.

ISDAs

CREDIT AGREEMENTS

Reconcile data of back book across multiple systems and create a single source of truth for the entire loan life-cycle.

How Eigen works

Users upload a handful of documents and label the relevant data fields for extraction. Eigen uses this information to build a machine learning model.

The model then analyzes all contracts to retrieve the correct data points. The extracted data can be exported or sent to other systems via APIs.