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LexNLP by LexPredict

Information retrieval and extraction for real, unstructured legal text

LexNLP is a library for working with real, unstructured legal text, including contracts, plans, policies, procedures, and other material. LexNLP provides functionality such as:

  • Segmentation and tokenization, such as
    • A sentence parser that is aware of common legal abbreviations like LLC. or F.3d.
    • Pre-trained segmentation models for legal concepts such as pages or sections.
  • Pre-trained word embedding and topic models, broadly and for specific practice areas
  • Pre-trained classifiers for document type and clause type
  • Broad range of fact extraction, such as:
    • Monetary amounts, non-monetary amounts, percentages, ratios
    • Conditional statements and constraints, like "less than" or "later than"
    • Dates, recurring dates, and durations
    • Courts, regulations, and citations
  • Tools for building new clustering and classification methods
  • Hundreds of unit tests from real legal documents

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Please note that ContraxSuite installations generally require trained models or knowledge sets for usage.

Licensing

LexNLP is available under a dual-licensing model. By default, this library can be used under AGPLv3 terms as detailed in the repository LICENSE file; however, organizations can request a release from the AGPL terms by contacting ContraxSuite Licensing at <[email protected]>.

Releases

  • 0.1.8: May 1, 2018 - Eighth scheduled public release; code
  • 0.1.7: April 1, 2018 - Seventh scheduled public release; code
  • 0.1.6: March 1, 2018 - Sixth scheduled public release; code
  • 0.1.5: February 1, 2018 - Fifth scheduled public release; code
  • 0.1.4: January 1, 2018 - Fourth scheduled public release; code
  • 0.1.3: December 1, 2017 - Third scheduled public release; code
  • 0.1.2: November 1, 2017 - Second scheduled public release; code
  • 0.1.1: October 2, 2017 - Bug fix release for 0.1.0; code
  • 0.1.0: September 30, 2017 - First public release; code

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LexNLP by LexPredict

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  • Python 97.9%
  • Shell 2.1%