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| An [[Automated Domain-Specific Legal Writing Task]] is an [[automated domain-specific writing task]] that can be used to create [[legal documentation system]]s (that support [[legal communication]]).
| | #REDIRECT [[Automated Legal Writing Task]] |
| * <B>AKA:</B> [[Automated Domain-Specific Legal Writing Task|Jurisdictional Writing Task]], [[Automated Domain-Specific Legal Writing Task|AI-Assisted Legal Drafting]], [[Automated Domain-Specific Legal Writing Task|Automated Legal Document Generation]].
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| * <B>Context:</B>
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| ** It can produce [[legally binding document]]s by incorporating [[statutory reference]]s, [[precedent analysis]], and [[compliance verification]].
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| ** It can generate [[contract]]s, [[legal brief]]s, and [[compliance report]]s, ensuring adherence to [[legal standard]]s and [[terminology]].
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| ** It can draft [[contract clause]]s with [[Governing Law selection]].
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| ** It can verify [[statute of limitation]]s in [[pleading document]]s.
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| ** It can generate [[discovery request]]s using [[case-specific parameter]]s.
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| ** It can ensure [[clause consistency]] across [[multi-jurisdictional agreement]]s.
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| ** It can flag [[unenforceable provision]]s via [[legal database cross-check]].
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| ** It can integrate with [[case management system]]s via [[API]]s to streamline [[document workflow]]s.
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| ** It can support [[legal research]] through [[automated case law analysis]] and [[summarization]].
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| ** It can manage large volumes of [[legal document]]s across various [[Legal Parctice Domain|practice areas]].
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| ** It can ensure precision and consistency via [[natural language processing]] techniques.
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| ** It can range from being a [[clause-based assembly system]] to being an [[advanced AI-driven drafting platform]], depending on the sophistication of its capabilities.
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| ** It can range from being a [[specialized tool]] for specific [[legal practice]]s to being a [[general-purpose legal writing assistant]], depending on its application domain.
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| ** ...
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| * <B>Examples:</B>
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| ** [[LawGeex]], which [[automates contract review]] by identifying inconsistencies and [[compliance risk]]s.
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| ** [[Thomson Reuters' Customized LLMs]], which enhance [[legal workflow]]s by integrating [[specialized AI model]]s for tasks like [[summarization]] and [[document drafting]].
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| ** [[PatentPal]], which assists in drafting precise [[patent application]]s, reducing time spent on repetitive ppwriting task]]s.
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| * <B>Counter-Examples:</B>
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| ** [[General-Purpose Writing Assistant]]s, which lack specialized [[legal knowledge]].
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| ** [[Automated Medical Writing Tool]]s, which serve different purposes in the [[medical domain]].
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| ** [[Technical Documentation Generator]]s, which focus on [[technical manual]]s and guides rather than [[legal content]].
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| ** ...
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| * <B>See:</B> [[Legal NLP]], [[Precedent Analysis System]], [[Regulatory Change Tracking]], [[Electronic Signature Platform]], [[Contract Lifecycle Management]], [[Automated M&A Agreement Generation]], [[Patent Application Drafting]], [[Lease Agreement Customization]].
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| == References ==
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| === 2024 ===
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| * ([[MyCase, 2024]]) ⇒ MyCase. (2024). [https://www.mycase.com/blog/ai/ai-for-legal-documents/ "How AI for Legal Documents Helps Lawyers"]. In: MyCase Blog.
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| ** QUOTE: [[AI]] for [[drafting legal document]]s ensures these [[document]]s are [[comprehensive]] and specifically tailored to the [[case]] at hand by suggesting relevant [[precedent]]s and constructing [[persuasive argument]]s. It can also analyze previous [[case outcome]]s and current [[law]]s to provide [[lawyer]]s with the best possible [[foundation]] for their [[brief]]s.<P>[[Legal AI tool]]s can also track [[change]]s and control [[document version]]s to ensure all [[team member]]s have current [[copy|copies]].<P>By [[standardizing]] the [[creation]] of essential [[legal document]]s such as [[contract]]s, [[will]]s, and [[notice]]s through [[customizable template]]s, [[AI]] saves [[time]] and minimizes the [[risk]] of [[human error]]. [[Legal document automation tool]]s ensure [[document]]s adhere to the latest [[law]]s and [[regulation]]s automatically, reducing the need for [[repetitive manual update]]s.
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| === 2023 ===
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| * ([[Love & Genesereth, 2023]]) ⇒ Love, N., & Genesereth, M. R. (2023). [https://capstonepractice.squarespace.com/s/Domain-Specific-Languages-and-Legal-Applications.pdf "Domain-Specific Languages and Legal Applications"]. In: Capstone Practice.
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| ** QUOTE: [[Expert system]]s and various forms of [[document automation]] are among the most common forms of [[knowledge-based software]] found in [[law office]]s in recent decades.<P>This article analyses [[domain-specific language]]s ([[DSL]]s) as promising opportunities to lessen that [[difficulty]], surveys 15 recent [[legal DSL]]s for [[semantic expressiveness]] and [[suitability]] for [[industry adoption]] according to an eight-point [[framework]], and presents an innovative [[application]] of one such [[DSL]] to automatically generate a [[user-friendly web application]], draw related [[visualization]]s to aid the [[drafter]], and [[transpile]] to multiple [[target]]s for the convenience of [[researcher]]s working in other [[language]]s.
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| __NOTOC__
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| [[Category:Concept]]
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| [[Category:Artificial Intelligence]]
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| [[Category:Legal Technology]]
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| [[Category:Quality Silver]]
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