Automated Document Assembly and Contract Analytics

Companies like Contract Express, Exari, HotDocs, KnowledgeTools, Neota Logic and SmartLaw apply procedural rules and some inference engines to generate legal documents. Contract Standards, eBrevia, Kira Systems, LegalSifter, Seal Software, LEVERTON and others use statistical and machine learning techniques as well as NLP to analyse contracts automatically.

Lex Machina, recently acquired by LexisNexis, creates structured data sets from public data to help its users predict the outcomes of different legal strategies and scenarios by categorizing, tagging, mining, and enhancing millions of federal court dockets and documents. The technology used by Lex Machina allows for data- driven decisions and derives, for example, litigation strategies from data on case law, parties, counsels, jurisdictions and presiding judges. LexPredict builds models to predict the outcome of Supreme Court cases, and it is doing so at accuracy levels challenging experienced Supreme Court practitioners. Huron's Sky Analytics and Legal Operations Company use their big databases of law firm cases and billing data to offer outcome predictions as well as cost and rate benchmarks. Other companies, like LEVERTON, specifically aim to streamline due diligence processes though machine learning (including deep learning) technology and to build smart data platforms.

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