The integration of artificial intelligence (AI) into legal practice is reshaping administrative law, particularly in the drafting of legal documents. AI tools are streamlining processes, enhancing accuracy, and allowing legal professionals to focus on more complex aspects of their work.
One notable example is Ohio’s initiative to simplify its state administrative code. By employing AI, the state identified and eliminated 2.2 million words of outdated regulations, such as rules for discontinued lottery games. This effort, led by Lt. Gov. Jon Husted, utilized a tool called RegExplorer to analyze and streamline the code, demonstrating AI’s capacity to efficiently manage and refine extensive legal texts. ([axios.com](https://www.axios.com/local/columbus/2024/04/29/artificial-intelligence-ai-ohio-state-administrative-code-husted?utm_source=openai))
In the private sector, AI-driven platforms are transforming legal drafting. Lexis+ AI, developed by LexisNexis, offers comprehensive solutions for drafting, research, and analysis. It combines a personalized AI assistant with authoritative content, enabling legal professionals to generate full transactional documents, litigation motions, and client communications swiftly. ([lexisnexis.com](https://www.lexisnexis.com/en-us/products/lexis-plus-ai.page?utm_source=openai))
Similarly, AI.Law focuses on automating litigation documents, such as discovery responses and objections. By generating drafts in minutes, it allows attorneys to dedicate more time to strategic tasks and client engagement. ([ai.law](https://www.ai.law/ai-that-drafts-litigation-pleadings/?utm_source=openai))
However, the adoption of AI in legal drafting is not without challenges. Instances have been reported where AI-generated legal briefs contained errors, including fabricated citations and case law. This underscores the necessity for human oversight to ensure the accuracy and reliability of AI-assisted documents. ([apnews.com](https://apnews.com/article/fddcd0a5c86c20a4748dc65ba38f77fa?utm_source=openai))
To address privacy concerns, frameworks like LegalGuardian have been developed. LegalGuardian employs Named Entity Recognition techniques and local large language models to mask and unmask confidential information within prompts, safeguarding sensitive data before any external interaction. ([arxiv.org](https://arxiv.org/abs/2501.10915?utm_source=openai))
As AI continues to evolve, its role in administrative law drafting is expected to expand. Legal professionals are encouraged to embrace these technologies while maintaining rigorous oversight to uphold the integrity and confidentiality of legal documents.