AI & Legal Technology — Law Library
The emerging legal and ethical framework governing AI use in legal practice, including attorney competence duties, bias concerns, and evidentiary issues.
Statutes & Rules
- Competence (ABA Model Rules of Prof'l Conduct, R. 1.1)
- Requires attorneys to maintain competence, which ABA Formal Opinion 512 (2023) interprets to include understanding AI tools used in legal work.
- Confidentiality of Information (ABA Model Rules of Prof'l Conduct, R. 1.6)
- Prohibits disclosure of client information without consent; applies to AI tools that process client data.
- EU Artificial Intelligence Act (EU AI Act (2024))
- First comprehensive AI regulation; classifies AI tools by risk level and imposes obligations on high-risk applications including those used in legal proceedings.
Landmark Cases
- Mata v. Avianca, 22-cv-1461 (S.D.N.Y.) (2023) — Attorneys sanctioned for submitting AI-generated brief containing fabricated case citations; courts require attorneys to verify AI-generated legal research.
- State Bar of Fla. Ethics Op. 24-1, Florida Bar Ethics Opinion 24-1 (2024) — Florida attorneys may use generative AI if they maintain competence, protect confidentiality, supervise non-lawyer work, and disclose AI use where required.
Key Terms
- Hallucination
- When an AI model generates confident-sounding but factually incorrect or fabricated content — a critical risk for legal citations.
- Large Language Model (LLM)
- A type of AI trained on vast text data; the technology behind tools like ChatGPT and Justice222's AI features.
- AI Competence Duty
- The obligation of attorneys to understand the benefits, risks, and limitations of AI tools used in client matters.
- Predictive Analytics
- AI analysis of legal data to forecast case outcomes, sentencing ranges, or judicial behavior patterns.
- OCR (Optical Character Recognition)
- Technology that converts scanned documents and images into machine-readable text for AI processing.