Deep Research in Legal AI
Definition
Deep research is an AI capability that conducts comprehensive, multi-step legal research autonomously, searching across multiple sources, analyzing results, following citation trails, and synthesizing findings into a structured memorandum. Unlike single-query research, deep research mimics the iterative process a skilled research attorney would follow.
Traditional AI legal research tools answer individual queries: the lawyer asks a question, and the AI returns results. Deep research goes further by conducting an entire research project autonomously. Given a legal question, the system formulates an initial search strategy, reviews results, identifies new leads from those results, follows citation trails, checks for conflicting authority, and compiles its findings into a comprehensive analysis.
This capability mirrors how experienced research attorneys work. A skilled researcher does not stop after the first search. They read the cases they find, identify the cases those opinions cite, look for contrary authority, check for recent developments, and synthesize everything into a coherent analysis. Deep research automates this iterative, multi-step process while maintaining the rigor that legal work demands.
The output of deep research is typically a structured memorandum that includes the legal analysis, cited authorities with verification status, the research methodology used, and areas of uncertainty or conflicting authority. This transparency allows the supervising attorney to evaluate not just the conclusions but the research process itself, maintaining the quality control that legal practice requires.
How Irys approaches this
Irys provides deep research capabilities that autonomously conduct multi-step legal research, following citation trails and synthesizing findings into verified, memo-quality output.
Related terms
AI Legal Research
AI legal research uses artificial intelligence to find, analyze, and synthesize legal authorities including case law, statutes, regulations, and secondary sources. Unlike traditional database searches that return ranked lists of documents, AI legal research can answer natural language questions, provide analytical summaries, and identify relevant authorities that keyword searches would miss.
ResearchMemo-Quality Research
Memo-quality research refers to AI-generated legal research output that meets the standard expected of a well-drafted legal memorandum: thorough analysis of relevant authorities, proper citation format, balanced treatment of favorable and unfavorable authority, clear IRAC or similar analytical structure, and transparent identification of open questions or weaknesses in the analysis.
AI ConceptsAI Agent in Legal
An AI agent is an autonomous system that can plan and execute multi-step tasks on behalf of a user, making decisions about which tools to use and in what order. In legal applications, AI agents can conduct research across multiple databases, draft documents incorporating their findings, and verify citations, all from a single instruction.
ResearchCitation Verification
Citation verification is the process of independently confirming that legal citations in a document are accurate: that the cited authorities exist, that quoted language matches the source, that holdings are correctly represented, and that the authorities remain good law. In AI-assisted legal work, automated citation verification is essential to catch hallucinated or inaccurate references before they reach a court or client.
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