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Law departments and uses of non-legal artificial intelligence

Marc Lauritsen’s new book, The Lawyer’s Guide to Working Smarter with Knowledge Tools (ABA 2010) at 64-65 lists several artificial intelligence topics. Those most applicable to law (not robotics, for example) pushed to me to find out which of them have a blog post here that discusses the topic (See my post of Jan. 28, 2007: take the very long view on legal AI.). Below are the legal-related ones.

  1. Logic programming
  2. Rule-based expert systems (See my post of March 27, 2005: software in England and Australia; March 24, 2005: document assembly hasn’t caught on; and Feb. 24, 2007: rules based document assembly.).
  3. Speech recognition (See my post of Feb. 23, 2008: dictation with 5 references).
  4. Natural language understanding
  5. Neural networks (See my post of April 7, 2006: invoice analysis software as a possibility; and Feb. 23, 2006: discovery software with neural network capabilities.).
  6. Machine learning (See my post of Feb. 17, 2008 #4: data mining application.).
  7. Fuzzy logic (See my post of April 5, 2009: fuzzy search tools; and March 23, 2006: knowledge management software and fuzzy logic.).

On a related point, at page 167 Marc mentions three document assembly packages that I did not cover in my recent metapost: Perfectus (, ActiveDocs (, and Pathagoras ( (See my post of March 23, 2010: document assembly with 8 references and one metapost.).

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One response to “Law departments and uses of non-legal artificial intelligence”

  1. It’s an outstanding book, too. (Disclaimer: I know Marc, but I think it’s a terrific book anyway!)