An AI literature review, drafted from the search through the synthesis.

Who this is for

A review on its own, the literature chapter of a thesis, or the related work in a paper. It is organized by theme: what the studies argue, where they disagree, and what they leave open. It is not a PRISMA review, and it will not screen papers in duplicate or run a meta-analysis.

Writing a literature review is a long job, even after the reading is done

Writing a literature review takes longer than the search. You have probably already done the hard part of finding papers, saving the PDFs, and summarizing them one by one. What you are left with is a stack of summaries, and the part that says what those studies mean together is still waiting, often the week the review is due. That last stretch is where most people get stuck. It is not laziness. Synthesis is a different job from collecting.

A chatbot feels like a fair shortcut at that point. It will write the synthesis in minutes. Then a citation does not open, or a paragraph describes a paper that does not say what the sentence claims, and you start again. You deserved help with the writing. You should not have had to throw the review away to get it.

How Relumir writes an AI literature review once the reading is done

You set the topic, the years, the length, and the citation style before the search, so the review does not quietly change decade halfway through. Relumir comes back with gaps. You pick the one this review is actually about. If you already did that on the research gaps page, bring it over.

It then proposes an outline grouped by theme, plus the comparison tables worth having. Change the headings. Drop a table. The synthesis is drafted only after that outline looks right to you. Where a sentence sits too close to an abstract, Relumir rewrites it, then runs an AI-detection pass. You can see the scores. Export to Word or PDF when you would actually send it to someone.