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Other Documents

Use AI to automatically extract data from various types of documents

Optimize your data management

Whether it is real estate, financial, accounting, or other kinds of documents and contracts, having quick access to the information residing within is crucial for any organization in order to make good business decisions. Our Deep Learning algorithms can help to simplify the process of information extraction and allow for more efficient data and document management. The technology can be trained to automatically extract relevant information from various types of documents and contracts. Thus, information that used to be hidden in complex contracts is brought to surface in a structured format. Enabling more efficient data aggregation and significantly better transparency of large data sets.

Automated key data generation

  • Fast data aggregation.
  • Deep Learning algorithms extract required data.
  • Quick quality control extraction.
  • Extract data from contracts in 20+ languages.

Structured data repository

  • Real-time insight to accurate portfolio data.
  • Access your data with only a few clicks.
  • Migrate and sync data with your target system.
  • Improve your target system data quality.

Manage your documents more efficiently

We are continuously expanding the document and contract types our AI technology can support. Beyond various real estate, financial, and accounting document types, we are also training our algorithms to extract information from employment contracts and non disclosure agreements (NDAs). Once trained, our Machine Learning technology can help you to automatically extract the relevant data, enabling a faster and more efficient way to handle your corporate data. See below for some supported document types and some exemplary data points that can be extracted. Please contact us if you have large amounts of other document types which you would like to apply our AI technology to.

Employment contracts

Employment contracts (beta)

  • Employee Name
  • Annual Salary
  • Starting Date
Non disclosure agreements

Non disclosure agreements (beta)

  • Disclosing Party Name
  • Receiving Party Name
  • Confidentiality Exclusions
Your document type

Your document type

Let us know your specific document type and we will evaluate feasibility.
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Need to comply with IFRS 16 / US GAAP ASC 842?
We help you to save time & cost through the power of Artificial Intelligence.

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What our partners say

Our Partnership with LEVERTON will increase customer experience & drive efficiency of our lease management platforms.

Christian Ulbrich

Global CEO

JLL

LEVERTON’s machine learning technology is a perfect match for our new corporate real estate and leasing solutions making the transition for IFRS 16/ US GAAP ASC 842 an easy success for our customers.

Tobias Decker

Head of LoB Real Estate

SAP

Manually a lawyer needs three to five hours to examine one lease file. With LEVERTON's data extraction only 20 to 45 minutes are needed.

Cornelia Thaler

Partner

Clifford Chance
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