Best AI Tools for Literature Reviews (2026)

Q: Which have free plans?

- Elicit: yes, per its official pricing page [21].

Disclosure: some links on this page are affiliate links. DigitSelect may earn a commission at no extra cost to you; this never changes which tool we recommend.

A literature review has several steps: you search for papers, screen them, extract the details, verify what you rely on, and then read and write. Elicit, Consensus, Scite and SciSpace each fit some of these steps better than others. None of them removes the step where you read the papers yourself.

Quick answer

To get a fast, paper-backed answer to a question: use Consensus [3][7][9].
To extract structured data across many papers, or to run a protocol-driven review: use Elicit [3][6][21].
To check whether a finding was later supported or contradicted: use Scite [11][13][14].
To search, read PDFs and format citations in one workspace: use SciSpace [18][20].
To manage references: Zotero is a widely used free option, and both SciSpace and Scite connect to it [15][18].

Whichever tool you choose, open and read every paper you cite.

Key takeaways

Match the tool to the step. Each tool is described as strongest at a different stage of the workflow.
Check every result against the paper. No independent, neutral test establishes which tool finds the most relevant papers or how accurate its summaries are. Use any tool's results as a starting point, then confirm them in the original paper.
Read vendor claims as vendor claims. One example is Scite's statement that its answers are "never generated or hallucinated" [14].
Confirm prices on the official pricing page. Prices change, and several third-party figures conflict with each other.
Check your local AI policy. Rules on AI use differ between universities, departments, journals and supervisors.

Elicit, Consensus, Scite and SciSpace compared

	Elicit	Consensus	Scite	SciSpace
Best-suited step	Screening and structured extraction	Quick answers to research questions	Verifying citations	All-in-one workspace
What it does	Summarizes papers and extracts data into customizable tables [3]	Gives answers drawn from peer-reviewed research, plus a "Consensus Meter" showing agreement across studies [3]	"Smart Citations" that show citation context and classify the citing paper's intent [11]	Literature review agent, a "Deep Review" draft feature, a citation generator, and the ChatPDF assistant [16][18][20]
Search approach	Semantic matching on meaning rather than exact keywords [10]	A ranked set of papers around a claim [7]	Whether later work supports or contrasts a finding [13][14]	Systematic reviews on "280M+" papers, according to the vendor [19]
Free plan	Yes. Unlimited search across 138 million papers, per the official pricing page [21]	Yes, free to use, per the official help center [27]	Check scite.ai's official pricing page	Check SciSpace's official pricing page
Paid pricing	Third-party reports: Pro $49/mo, Scale $169/mo [24]. Another directory lists a lower figure [22]. Check the official page.	Pro: $20/month or $144/year, per the official help center as of October 2026 [29]. Confirm before subscribing.	Check the official pricing page	A competitor reports Premium $12/mo and Advanced $70/mo [23]. Check the official page.
Integrations	Check the official documentation	Check the official documentation	Plugins for Zotero and Mendeley [15]	Exports to Zotero or Mendeley [18]

Search: finding relevant papers

According to aicomparison.ai, Elicit retrieves papers by conceptual relevance rather than exact keywords [10]. Atlas Workspace suggests starting with Consensus when you want a quick paper-backed answer or a ranked set of papers around a claim [7]. The Drive AI describes Semantic Scholar as best for large-scale paper discovery [9].

How relevant the results are depends on your topic. A practical approach is to run the same question through two tools and compare the overlap.

Screen: deciding what to read

Elicit's official pricing page says its paid Systematic Review workflows can screen thousands of papers [21]. Paperguide, which makes a competing tool, also describes Elicit as suited to screening at scale [6].

ASReview LAB is mentioned on Reddit as a tool that semi-automates screening [2]. That is an anecdotal source, so check ASReview LAB's own documentation before you rely on it.

In a formal systematic review, AI-assisted screening should be documented and checked by humans according to your review protocol.

Extract: pulling data into tables

According to a George Mason University library guide, Elicit extracts data into clear, customizable tables [3]. BioSkepsis, a competitor, says Elicit is useful for tabulating sample sizes, effect sizes and methods across biomedical papers [8].

Treat any extraction table as a map of where to look. Confirm each value in the paper itself.

Verify: checking claims and citations

A peer-reviewed article in Quantitative Science Studies describes Scite as a citation index that uses deep learning to show how a paper has been cited and to classify the citing paper's intent [11]. Library guides from Albert Einstein College of Medicine and Clemson University note that Scite distinguishes supporting evidence from contrasting evidence [12][13].

Whether Scite or any other tool here flags retracted papers needs to be checked in each tool's official documentation.

Read and write: the part you can't delegate

One researcher on Reddit put it this way: "You still have to eventually read the papers" [2]. SciSpace's own page also discusses where AI tools fit into a review "and where they don't" [16].

The Consensus Meter reflects only the papers the tool retrieved. It is not a verdict on scientific truth [3][8].

Free and non-affiliate alternatives

These tools may suit some tasks better than the four above:

Zotero: a reference manager that works alongside Scite and SciSpace [15][18]. Confirm current terms on the official site.
Connected Papers: described by thesify, a competitor, as strong for getting a literature overview [4].
ResearchRabbit: visualizes connections between papers, per its official site [5].
Semantic Scholar: suited to broad discovery, according to The Drive AI [9].
Undermind.ai: recommended by one Reddit user for getting a sense of a literature and deciding what to read [2].

Academic integrity: what universities typically allow

Rules on AI use differ between institutions, departments, journals and supervisors. Before you use any of these tools for assessed work, check your university's AI policy and ask your supervisor. The following practices apply whatever your local rules say:

Don't skip reading. Summaries and extraction tables help you find and organize papers. They do not replace reading them [2][16].
Verify every citation. AI tools can produce inaccurate or non-existent references. A comparison by PapersFlow, which ranks its own product first, notes that one drafting tool "lacks verification" [1]. Scite's citation context [11][13] helps with checking, but you still need to read the cited passage yourself.
Don't submit AI drafts as your own work. SciSpace's "Deep Review" generates a structured literature review draft [18]. Submitting it, or any AI-written text, as your own work may breach academic-integrity rules. Use drafts as outlines only, and write your analysis in your own words.
Disclose AI use where it's required. Your institution or journal may ask you to state which tools you used and how.
Be aware of AI detectors. Detection tools can produce false positives, and their reliability is debated. This guide gives no advice on getting around detectors or plagiarism checks. If you're flagged, honest documentation of how you worked is your best protection.

FAQ

Which tool finds the most relevant papers? No neutral, independent comparison answers this. The tools search in different ways:

Elicit uses semantic matching [10].
Consensus ranks papers around a claim [7].
Semantic Scholar is described as suited to large-scale discovery [9].

Cross-check your results across at least two tools.

Can these tools summarize papers accurately? They do produce summaries: Elicit summarizes papers [3], and SciSpace includes the ChatPDF assistant for reading them [20]. No independent measurement of summary accuracy is available, so check every summary against the original paper.

How do they handle citations and retractions? Scite shows whether later papers support or contrast a finding [11][12][13][14]. SciSpace formats citations in APA, MLA and other styles and exports to Zotero or Mendeley [18]. For retraction handling, check each tool's official documentation.

Do they replace reading the papers? No [2][16].

Which have free plans?

Elicit: yes, per its official pricing page [21].
Consensus: yes, per its official help center [27]. The limits of the free plan are not specified there.
SciSpace and Scite: check their official pricing pages.

Your library may also offer institutional access to some of these tools.

How we built this guide

This guide is DigitSelect editorial content. It is based on documentation rather than hands-on testing. It draws on:

official vendor documentation and pricing pages
university library guides
a peer-reviewed article on Scite
public comparison sites, which are identified when they are run by competing vendors

Community posts are labeled as anecdotal. We give no specific university's rules, so check your own institution's policy. Prices were gathered in October 2026 and can change at any time, so confirm them on each official pricing page before subscribing.

Best AI Tools for a Literature Review in 2026: Elicit, Consensus, Scite and SciSpace