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Research

Memo-Quality Research

Definition

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.

The legal memorandum is the standard format for communicating legal research findings within a law firm. A quality memo identifies the legal issue, states the applicable rule from binding authority, applies that rule to the specific facts, and reaches a conclusion. It also addresses contrary authority, identifies jurisdictional splits, and notes areas of uncertainty. Producing a memo of this quality requires not just finding relevant cases but synthesizing them into a coherent analysis.

Most AI legal research tools produce output that falls short of memo quality. They may provide relevant case summaries but lack the analytical synthesis that connects cases to each other and to the specific facts at issue. They may cite favorable authority while omitting contrary cases. They may use citation formats that do not comply with Bluebook standards. Each of these shortcomings requires additional lawyer time to remediate.

Memo-quality research output reduces the gap between AI output and final work product. When the AI delivers a structured analysis with proper citations, balanced authority treatment, and clear analytical reasoning, the lawyer's role shifts from building the analysis from scratch to reviewing and refining an existing analysis. This represents a fundamentally different, and more efficient, use of attorney time.

How Irys approaches this

Irys aims to produce memo-quality research output with structured analysis, verified citations, balanced authority treatment, and clear identification of favorable and unfavorable authority.

Related terms

Workflow

Deep Research in Legal AI

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.

Research

Citation 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.

Legal Tech

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.

Research

AI Legal Citations

AI legal citations are case references, statutory citations, and other legal authority references generated by AI systems in the course of legal research or drafting. The accuracy and verifiability of AI-generated citations is a central concern in legal AI because language models can produce citations that appear well-formed but reference non-existent authorities.

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