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Agentic Review

Last updated: 2026-03-23

Agentic document review is an approach to e-discovery that uses autonomous AI agents to perform document analysis tasks traditionally handled by human reviewers, including relevance assessment, privilege identification, key document surfacing, and research across case materials. It represents the next evolution beyond technology-assisted review (TAR) and predictive coding.

What is agentic document review?

Agentic document review moves beyond the pattern-matching of earlier AI tools. Predictive coding classifies documents based on statistical patterns learned from training examples. An agentic system, by contrast, understands natural-language instructions, reasons about document content, and performs multi-step analysis tasks on its own. You can ask a question about the case, and the agent will search the collection, identify relevant passages, and provide a cited answer.

The term "agentic" refers to the agent's ability to take independent action within defined boundaries. Rather than simply scoring documents on a relevance scale, an agentic system can search for specific information, group related documents, identify privileged content, and perform operational tasks like applying Bates numbers or redactions when directed by a human reviewer.

Agentic review extends the principles established by courts for TAR and predictive coding. As with any AI-assisted review methodology, the approach must satisfy FRCP Rule 26(g) certification requirements, which obligate attorneys to certify that discovery responses are complete and correct based on a reasonable inquiry.-- FRCP Rule 26(g); see also The Sedona Conference Commentary on Generative AI in E-Discovery (2023)

AI in legal technology

  • According to Gartner, by 2026 over 80% of enterprises will have used generative AI APIs or deployed generative AI-enabled applications in production environments.
  • Thomson Reuters research found that 82% of legal professionals believe AI can be applied to legal work, and 51% believe it should be applied to legal work.
  • The Sedona Conference's 2023 commentary on generative AI in e-discovery emphasizes that human oversight and validation remain essential for defensible AI-assisted review.
  • Agentic workflows are projected to reduce document review time by up to 90% for routine relevance assessments, according to industry analyses.

Agentic review in Hintyr

Hintyr's AI agent is the platform's core differentiator. The agent answers natural-language questions about your case documents with cited responses, so you can verify every claim against the source material. Learn more about the agent's design in the agent overview.

Beyond research and analysis, the agent can perform operational tasks on command. It can apply Bates numbers, execute redactions, and search across the full document collection. A full list of available tasks is in the agent capabilities reference. Critically, all agent actions require human confirmation before changes are applied, maintaining the human oversight that courts and professional standards require.

Frequently asked questions

How is agentic review different from TAR or predictive coding?
TAR and predictive coding classify documents based on statistical patterns from training examples. Agentic review uses AI agents that understand natural language, reason about content, and perform multi-step tasks like research, analysis, and operational actions such as Bates numbering and redaction.
Is agentic review defensible in court?
The same principles that courts have applied to TAR apply to agentic review: the methodology must be reasonable, transparent, and subject to human oversight. Hintyr requires human confirmation for all agent actions, and all AI responses include citations to source documents.
Does the AI agent replace human reviewers?
No. The agent assists and accelerates the review process, but all actions require human approval. Attorneys remain responsible for certifying discovery responses under FRCP Rule 26(g).
Can I validate the accuracy of the AI agent?
Yes. Every agent response includes document citations that you can click to view the source material. Hintyr also supports TAR validation workflows for measuring and documenting the accuracy of AI-assisted review.

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