Can AI write my literature review automatically?
LitSynth can generate a cited first draft from selected papers, but the final review still needs human judgment, claim checking, and domain-specific editing.
Literature review workflow
Generate a literature review from selected papers with traceable citations
Turn a focused research question into retrieved papers, relevance scores, evidence notes, and a reviewable first draft without losing the citation trail.
Editable workflow
From research question to a review you can inspect
Each stage stays visible, so you can revise the scope or evidence choices before generating again.
- 1
Enter a research question in plain language.
- 2
Review retrieved papers and AI relevance scores.
- 3
Select the papers that should support the draft.
- 4
Generate a cited synthesis and inspect the evidence coverage.
Best for
- Creating a reviewable first draft from selected papers
- Screening evidence before synthesis
- Organizing findings into themes with traceable citations
Not a replacement for
- Submitting AI output without checking every claim
- Replacing subject expertise or academic judgment
Facts on this page
- Search
- Selected evidence
- Drafting
- Cited
- Workflow
- Screen first
search results stay visible for screening before drafting
sections remain tied to source papers for follow-up review
ranking and selection happen before paid review generation
Limits stated on this page
- LitSynth drafts are starting points for human academic review, not final scholarly authority.
- Citation audit flags support coverage, but users should verify claims before submission.
- Access to the drafting workspace still follows the current login-first product strategy.
Keep evidence decisions visible
LitSynth treats AI as support for a review process. You keep control of which papers enter the evidence set and which claims need another check.
Generate a structured literature review draft from selected papers.
Keep citations connected to the papers that support each section.
Move from broad discovery to a narrower evidence map before writing.
Export review-ready material after checking citation coverage.
Questions researchers ask
How do I write a literature review with AI without hallucinated references?
Retrieve papers before drafting, confirm their bibliographic records, and select the evidence that fits your question. LitSynth uses that selected set for drafting and citation audit. Open the original source for important claims, check whether it supports the exact wording, and revise or remove unsupported passages. This reduces risk; it cannot guarantee a hallucination-free review.
What is different from a chatbot?
A chatbot starts from conversation. LitSynth starts from a research workflow: retrieval, relevance scoring, paper selection, synthesis, and citation audit.
Continue your research workflow
Build the review, then revise any step
Search papers, screen the evidence, generate a cited draft, and return to earlier decisions whenever the scope needs to change.
Start your review