Skip to main content

LexPredict LexNLP

Project description

[![Build Status](https://travis-ci.org/LexPredict/lexpredict-lexnlp.svg?branch=master)](https://travis-ci.org/LexPredict/lexpredict-lexnlp) [![Coverage Status](https://coveralls.io/repos/github/LexPredict/lexpredict-lexnlp/badge.svg?branch=master)](https://coveralls.io/github/LexPredict/lexpredict-lexnlp?branch=0.1.8) [![](https://tokei.rs/b1/github/lexpredict/lexpredict-lexnlp?category=code)](https://github.com/lexpredict/lexpredict-lexnlp) [![Docs](https://readthedocs.org/projects/lexpredict-lexnlp/badge/?version=docs-0.1.6)](http://lexpredict-lexnlp.readthedocs.io/en/docs-0.1.6/)

# 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

![Logo](https://s3.amazonaws.com/lexpredict.com-marketing/graphics/lexpredict_lexnlp_logo_horizontal_1.png)

# Information
* ContraxSuite: https://contraxsuite.com/
* LexPredict: https://lexpredict.com/
* Official Website: https://lexnlp.com/
* Documentation: http://lexpredict-lexnlp.readthedocs.io/en/docs-0.1.6/ (in progress)
* Contact: support@contraxsuite.com

## Structure
* ContraxSuite web application: https://github.com/LexPredict/lexpredict-contraxsuite
* LexNLP library for extraction: https://github.com/LexPredict/lexpredict-lexnlp
* ContraxSuite pre-trained models and "knowledge sets": https://github.com/LexPredict/lexpredict-legal-dictionary
* ContraxSuite agreement samples: https://github.com/LexPredict/lexpredict-contraxsuite-samples
* ContraxSuite deployment automation: https://github.com/LexPredict/lexpredict-contraxsuite-deploy
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 <<license@contraxsuite.com>>.


## Releases
* 0.2.5: March 1, 2019 - Fourteenth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.5)
* 0.2.4: February 1, 2019 - Thirteenth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.4)
* 0.2.3: Junuary 10, 2019 - Twelfth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.3)
* 0.2.2: September 30, 2018 - Eleventh scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.2)
* 0.2.1: August 24, 2018 - Tenth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.1)
* 0.2.0: August 1, 2018 - Ninth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.2.0)
* 0.1.9: July 1, 2018 - Ninth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.9)
* 0.1.8: May 1, 2018 - Eighth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.8)
* 0.1.7: April 1, 2018 - Seventh scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.7)
* 0.1.6: March 1, 2018 - Sixth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.6)
* 0.1.5: February 1, 2018 - Fifth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.5)
* 0.1.4: January 1, 2018 - Fourth scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.4)
* 0.1.3: December 1, 2017 - Third scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.3)
* 0.1.2: November 1, 2017 - Second scheduled public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.2)
* 0.1.1: October 2, 2017 - Bug fix release for 0.1.0; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.1)
* 0.1.0: September 30, 2017 - First public release; [code](https://github.com/LexPredict/lexpredict-lexnlp/tree/0.1.0)


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lexnlp-0.2.5.tar.gz (7.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lexnlp-0.2.5-py3-none-any.whl (7.9 MB view details)

Uploaded Python 3

File details

Details for the file lexnlp-0.2.5.tar.gz.

File metadata

  • Download URL: lexnlp-0.2.5.tar.gz
  • Upload date:
  • Size: 7.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.9.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for lexnlp-0.2.5.tar.gz
Algorithm Hash digest
SHA256 3f02ac1051d6c6ec16f5042ec46ed0fb7d770edde341f44fd18ecd445b1c2738
MD5 7ecd06e1aa35d5ac9ac4b4de70578ba9
BLAKE2b-256 73e8a4ea8f392febfcb2a2c5e7925388fb8ba52f51672b9c4d7212ac0b118d68

See more details on using hashes here.

File details

Details for the file lexnlp-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: lexnlp-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.9.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for lexnlp-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4f53bee4d7dae3de7920076510606e0ee9dbf608e1fe56e0e7cf19819341630c
MD5 ba618b89ce2203db5013beadc4219192
BLAKE2b-256 a224802c61a84bef13185fe2a6d791a3a43394049d368a5e6f8d03448ad67ea9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page