Natural language processing covers the methods computers use to work with text: parsing structure, identifying entities, classifying content, extracting relationships, and generating language. It underlies search, summarization, and extraction in legal tools.
Legal text presents distinctive challenges, including specialized vocabulary, long documents with cross-references, and meaning that depends on context established pages earlier.
Alternative Names:
NLP, Computational Linguistics
Why it Matters?
Litigation documents are unusually hostile to general-purpose language processing. Medical records mix handwriting, abbreviations, and templated forms; depositions run hundreds of pages with meaning distributed across them; productions arrive in inconsistent formats. Systems that perform well on clean prose frequently degrade on this material, which is why domain evaluation is not optional.
Frequently Confused with
Related terms
Frequently asked questions
Is NLP the same as a large language model?
Why is legal text hard to process?
