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Legal NLP

State of the Art NLP for Legal Documents

The most widely used NLP library in Enterprise

As with last year’s survey, Spark NLP is the most popular library for production use

Gradient Flow 2021 NLP Survey
Which NLP Libraries does your organization use?
Spark NLP
33%
spaCy
26%
Allen NLP
23%
nltk
21%
Stanford CoreNLP
20%
Gensim
18%
Hugging Face
18%
Other
11%
Rasa NLU
10%

How Vakilsearch Understands Scanned Legal & Tax Forms with Legal NLP

  • The document classification pipeline outperformed the comparable pipelines by 9% and attained 96% accuracy.
  • The identity card information extraction pipeline achieved 87% accuracy
  • The mailing address resolution pipeline achieved 89% accuracy

What’s in the Box

State-of-the-art software + pre-trained legal-specific models

Legal NLP in Action

Name Entity Recognition

Extract document type, parties, aliases and dates from contracts.

Extract Legal Relationships

Automatically identify relationships even when they are mentioned using aliases.

Normalization & Data Augmentation

Enrich extracted company names with additional EDGAR information.

Legal Clause Classification

Identify more than 300 different legal clauses.

Information Extraction on Clauses

Use a Q&A model to retrieve the piece of valuable information with less length limitations than NER.

Legal De-identification

De-identify and mask sensitive personal information in documents and images.

Get Started with Legal NLP