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AI Extraction

Streamline Data Extraction and Contract Analytics with Enterprise-ready AI

Data extraction using artificial intelligence will speed up your processes, saving hours of mundane administration time.  Whether you are looking to negotiate better terms and conditions, assess risks in your contract portfolio, discover anomalies, comply with regulatory changes or more. Extract, find, and analyze data from a variety of document types and use cases faster while saving you money.

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Fuel Worflows

Any Format. Any Source.  Intelligence Realized 

Whether you’re working with 5,000 or 5,000,000 documents, Adlib automatically pulls clean, structured data from contracts, agreements and forms and everything in between. Adlib’s Automated Data Extraction software can handle a range of complex documents in 300+ file formats, including: Insurance Claims & Policies, Qualified Financial Contracts, Supplier, Lease & Vendor Compliance Agreements, LIBOR, Loan Documentation and Mergers & Acquisition Content.

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Analytics

Streamline

Supercharge Your Transformational Investments 

Adlib’s Data Extraction capabilities integrate seamlessly with your existing technology platforms and repositories, including: RPA: Blue Prism, Automation Anywhere, UiPath. Biga Data Analytics: IBM Watson, Tableau. Contract Lifecycle Management: Conga, Oracle, CLM Matrix. Data Lakes: Snowflake. Content Management/ECM: OpenText, Microsoft SharePoint, IBM FileNet. ERP & Others: Dassault Systèmes ENOVIA

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Extract Intelligence  from Unstructured Data

 

Chief Risk Officer
Discover & Clean
Pre-configured connectors, ingest, analyze, visualize, deduplicate and ROT content from various sources.
Chief Compliance Officer
Standardize and Make Searchable
Prepare content including born-digital and scanned images, into fully searchable assets.
Chief Legal Counsel
Classify & Extract
Use AL, ML and NLP to group, cluster, and classify content based on similarity and execute extraction of essential data.
Chief Technology Officer
Validate and Export
Verify classification tags and extracted data to train and enhance models to increase straight-through automation.