How to Do a Literature Review with AI in 2026

Literature reviews take months. They don't have to. Here's the workflow I use to complete comprehensive literature reviews in weeks using AI tools like Undermind.

Step 1: Define Your Research Question

Before searching, write your research question clearly. A well-defined question produces better results from AI search tools. Example: "What are the main approaches to using transformers for few-shot image classification, and what are their respective trade-offs?"

Step 2: Run Initial AI Search

Enter your research question into Undermind. The AI will read hundreds of papers and return a ranked list with relevance scores and explanations. Don't just look at the top results — scan the full list for unexpected relevant papers.

Step 3: Trace Citation Chains

From your initial results, use Undermind's citation tracking to follow both backward citations (foundational papers) and forward citations (recent work building on key sources). This ensures you don't miss foundational work or recent developments.

Step 4: Identify Research Gaps

Once you've mapped the literature, use Undermind's Research Gap Finder to identify problems that have been posed but not solved, contradictions between studies, and underexplored areas. These gaps are where your original contribution will go.

Step 5: Generate Your Literature Review

Use Undermind's Literature Review Generator to create a structured draft based on all the papers you've collected. Edit and refine the output — AI produces a strong first draft, but your expertise shapes it into a coherent narrative.

Step 6: Verify and Cite

Use Paper Chat to verify specific claims before citing. Every answer comes with inline citations so you can jump directly to the source paragraph. This is especially important for claims about methodology or results.