Best AI tools for literature review (2026)

A literature review is several jobs, not one: finding papers, deciding which to keep, extracting what they say, and keeping track of how they connect. AI tools tend to be built for one or two of those jobs. This guide sorts six tools by the job each says it does, then lists what they cost, with the date each price was read and the billing method for every price.

How to read this guide

• Everything below comes from the vendors’ own pricing pages, read on 5 October 2026. Nobody has run these tools for this guide.
• Prices are USD per month. Billed monthly means you pay month by month. Billed annually means the per-month price when you pay for a whole year in one go. They are different prices for the same plan, so compare like with like.
• “Not verified” means we could not read a reliable figure. We left it blank instead of guessing.
• Corpus sizes and accuracy figures on vendor pages are the vendor’s claims. They are not repeated here as fact.

Comparison by job

Tool	The job it says it does	Free plan	Paid plans, billed monthly	Paid plans, billed annually	Source
Consensus	Searches peer-reviewed papers and returns synthesized answers linked to studies	Yes: 10 Pro messages and up to 3 Deep reviews per month	Pro $20; Deep $65	Pro $12; Deep $45	Pricing
ResearchCollab	Topic map, literature review tracking with PRISMA flow diagrams, drafting with citations	Yes: 200 AI credits per month, 40 PDFs	Starter $9.99; Plus $19.99; Professional $39.99	Not verified	Pricing
Elicit	Research reports, systematic-review style screening and data extraction into tables	Yes (Basic): unlimited search, summaries and chat; limited Research Agent	Pro $75; Scale $279	Pro $49; Scale $169	Pricing
Jenni AI	Writing editor with source-grounded suggestions, citations and chat across PDFs	Yes: 10 autocompletes per day, 10 PDF uploads, 5 chat messages	Plus $30; Pro $73	Plus $12; Pro $29	Pricing
Anara	Ask questions across uploaded papers and get answers linked to exact passages	Yes: limited AI usage; 20 MB or 120 pages per upload	Plus $10; Pro $20; Max 5x $100	Plus $8; Pro $16; Max 5x $80	Pricing
Litmaps	Citation-based discovery, visual maps of related papers, alerts for new papers	Yes: 2 Litmaps, 100 papers per map	Not verified	Not verified	Pricing

All rows checked 2026-10-05. Anara’s pricing page displayed VND, so its USD figures are worked out from that display, apart from Max 5x billed annually, which the page states in USD. Litmaps shows $10 per month for Pro with an asterisk and does not say which billing method it applies to, so both columns say not verified. Paperpal is a writing tool and is not in this table; see its profile. Prices change, so confirm on the vendor’s page before paying.

Price traps: monthly vs annual

The same plan can cost more than twice as much depending on how you pay. From the pricing pages on 2026-10-05:

Plan	Billed monthly (per month)	Billed annually (per month)	What the page says
Jenni AI Plus	$30	$12	“Save 60%”
Elicit Pro	$75	$49	“Save 35%”, $588 per year
Elicit Scale	$279	$169	“Save 39%”, $2,028 per year
Consensus Pro	$20	$12	$144 per year, saves $96 per year
Consensus Deep	$65	$45	$540 per year, saves $240 per year

If you want to cancel after a month or two, the billed monthly price is the one that matters. If you know you will use a tool for a year, the billed annually price is. Check the refund and cancellation terms for the plan you pick.

Pick by job

I need to see what the literature says about a focused question. Consensus describes this use: ask a question, get an answer linked to papers. A summary is a starting point. Open the papers. See the Consensus profile.

I need to screen many papers and pull data from them. Elicit lists a systematic-review workflow on its Pro plan that screens up to 5,000 papers and extracts into up to 20 table columns, according to its pricing page. ResearchCollab lists literature review tools with inclusion and exclusion criteria and PRISMA flow diagrams, according to its homepage. Both are claims; try your own sample first.

I already have a pile of PDFs and want to ask questions across them. Anara describes cited answers that link to exact passages in your uploaded files. Jenni AI describes chat across a library with cited answers, inside a writing editor.

I want to find related work by following citations. Litmaps is built around citation maps and alerts for new papers. Its free plan lists 2 Litmaps with 100 papers per map.

I am writing the review and want help with the text. Jenni AI is an editor with suggestions drawn from your uploaded sources, per its homepage. If you want language polishing and manuscript checks instead, see the Paperpal profile.

Tool notes

Consensus

Described on its homepage as an AI academic search engine with a Consensus Meter for yes/no questions, study snapshots and citation export. Pro is $20 billed monthly or $12 billed annually. Read the profile.

ResearchCollab

Lists four plans from free to $39.99 per month billed monthly, with limits in credits, PDFs and workspaces, and a 30-day money-back policy on paid plans. Annual prices are not verified. Credits are hard to translate into real work until you try it, so test on the free plan. See the profile.

Elicit

The highest paid prices in this set: Pro at $75 billed monthly ($49 billed annually) and Scale at $279 billed monthly ($169 billed annually). The Basic plan is free with limited use of its research agent and reports. Worth it mostly if you need the screening and extraction workflow. See the profile.

Jenni AI

Plus at $30 billed monthly or $12 billed annually. Free-plan caps are small (for example 10 PDF uploads and 5 chat messages). It is a writing environment first and a search tool second. See the profile.

Anara

Plus $10, Pro $20 and Max 5x $100 billed monthly; $8, $16 and $80 billed annually. Most USD figures are worked out from VND shown on the page. See the profile.

Litmaps

About discovery and mapping rather than question answering. The Pro price shows as $10 per month with an asterisk, and the billing method it applies to is not verified. See the profile.

A sensible workflow

1. Define your question and inclusion criteria before you open any tool. A tool cannot decide what you consider relevant.
2. Use one discovery tool (search or citation maps) and keep a record of the queries you ran.
3. Screen and extract on a small sample, then compare against your own reading. If they disagree, trust the papers.
4. Verify every reference before it goes into your text. The citation checking guide shows a short routine.
5. Record which tools you used, as some journals and institutions ask for disclosure of AI assistance.
6. Start on a free plan. The free plans comparison lists what each one includes.

What this guide cannot tell you

It cannot tell you which tool finds the most relevant papers in your field, how accurate summaries or extractions are, or how pricing works out for your usage. Those need hands-on testing, which has not been done here. If testing is added later, this page will say so and show the notes.