Editing AI for Legal and Compliance (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Legal document review''' — The process of reviewing documents for relevance, privilege, or issues in litigation discovery.
* '''eDiscovery''' — Electronic discovery: the process of identifying and producing electronically stored information in litigation.
* '''Predictive coding''' — Using ML to prioritize documents for review in eDiscovery; also called Technology-Assisted Review (TAR).
* '''Contract analysis''' — Automated extraction and assessment of key clauses, obligations, and risks from legal contracts.
* '''Legal NLP''' — Natural language processing applied to legal text, which has distinctive vocabulary, citation formats, and structure.
* '''Case law retrieval''' — Finding relevant past court decisions using semantic search.
* '''Regulatory compliance''' — Ensuring that organizational activities conform to applicable laws and regulations.
* '''Named Entity Recognition (NER, legal)''' — Identifying legal entities: parties, dates, jurisdiction, statutes, cases.
* '''Clause extraction''' — Automatically identifying and categorizing specific contract clauses (indemnification, limitation of liability, termination).
* '''Litigation outcome prediction''' — ML models predicting case outcomes based on facts, jurisdiction, and judge characteristics.
* '''LegalBERT''' — A BERT model pre-trained on legal corpora; outperforms general BERT on legal NLP tasks.
* '''Lex Machina / Docket Alarm''' — Legal analytics platforms providing court data and outcome prediction.
* '''Attorney-client privilege''' — A legal protection for communications between attorney and client; AI review must identify and protect privileged documents.
* '''Contract lifecycle management (CLM)''' — End-to-end management of contracts from initiation through execution and renewal, increasingly AI-powered.
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