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← All cardsDOSSIER · Research assistant · SOLID · VERIFIED 2026-06-09
Elicit59SolidBenchmark pendingPaper discovery, evidence-table extraction, and systematic-review supportVerified 2026-06-09

Dossier · Research assistant

Elicit

Paper discovery, evidence-table extraction, and systematic-review support · last verified 2026-06-09

Solid
Research assistant
Elicit
59/100
ROLEPaper discovery, evidence-table extraction, and systematic-review support
Editorial fit
59
Source quality
52
Citation honesty
70
Privacy controls
46
Value for money
56
Speed
58
FREEBasic
$49/MOPro
$169/MOScale
SolidVerified 2026-06-09VP·METHOD

VERDICT HISTORY

  • Elicit is no longer just a paper-search assistant; it is positioning itself as an evidence-synthesis system for reports, systematic reviews, dynamic screening, extraction, and sentence-level citations over a very large scientific corpus. The richer data supports a higher-confidence card, but the recommendation still depends on benchmarked extraction accuracy against a hand-coded table.
  • Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

EDITOR'S NOTE

Elicit should be judged by whether it helps a researcher build a better evidence table, not by whether it writes a convincing paragraph. Its danger is the same as its appeal: it makes a messy literature review look organized before the hard verification is finished.

AT A GLANCE

AI research assistant for searching, summarizing, chatting with papers, screening studies, extracting fields, generating research reports, and supporting systematic reviews across large scientific corpora and uploaded documents.

Role: Paper discovery, evidence-table extraction, and systematic-review supportCategory: Research assistantSynthesized

Elicit flagship-ready dossier: Paper discovery, evidence-table extraction, and systematic-review support.

PUBLIC FACTS · vendor & repo

List prices and pay-as-you-go entry points we can cite without running our own bench. Each tile links to a source when possible.

Research assistantSetVerdictPal card ↗
synthesizedEvidenceQuality gate ↗
6Sources checkedCard sources ↗
2026-06-07Pricing checkedQuality gate ↗

Limits & product surface

Non-price vendor claims — multipliers, caps, and API scope. Detailed matrices live in subscription and SDK sections below.

Primary surface
prosumer-saasCard identity ↗
Modalities
text, dataCard identity ↗
Workflow roles
[object Object], [object Object], [object Object]VerdictPal editorial ↗
Alternatives tracked
Consensus, Scite, Semantic Scholar, Rayyan, Connected PapersVerdictPal comparison set ↗

HOW IT WORKS · agent loop

The public positioning for this product — the loop we score against on VerdictPal.

Start with the wedge

Building structured evidence tables across many papers

Run the representative task

Extract PICO/design/outcome fields from 20 papers and compare against a hand-coded table.

Check the failure modes

Pricing jumps quickly from free to Pro/Scale

Compare before recommending

Compare against Consensus, Scite, Semantic Scholar before shipping advice.

METRIC LAB · 16 DIMENSIONS

Click a tile for the editorial note. Color follows score: coral, yellow, mint.

Shape

Avg 70 · 46–100

59Editorial fit

Weighted roll-up across 13 dimensions for Research assistant; pending desk verification if rescored from public facts.

By group

Fit80
  • Editorial fit59
  • Wedge task fit82
  • Feature depth100
Cost59
  • Free-tier utility67
  • Cost-to-value56
  • Opportunity cost55
Trust74
  • Source grounding70
  • Privacy posture46
  • Failure transparency100
  • Evidence strength52
  • Transparency100
Workflow67
  • Integration reach75
  • Setup friction58
  • Reliability70
  • Competitive position75
  • Data portability55

SEARCH MODES · 4 lenses

One input box, many retrieval postures. Filter by tier.

01Free

Workspace

Workspace path for Elicit — verify limits on the live product.

02Pro

Collaboration

Collaboration path for Elicit — verify limits on the live product.

03Pro

Automation

Automation path for Elicit — verify limits on the live product.

04Max

Admin & billing

Admin & billing path for Elicit — verify limits on the live product.

BENCHMARK LEDGER

Public rows are vendor or third-party claims we logged with a date. Desk rows are reserved for VerdictPal self-run results.

MeasureResultSource
Extract PICO/design/outcome fields from 20 papers and compare against a hand-coded tableexact-match accuracy, quote support, unsupported claims, missed caveats, hallucinated values, correction time.PlannedVerdictPal benchmark plan
Screen 200 records with known include/exclude labels and distractorssensitivity, specificity, false negatives, exclusion-reason quality, reviewer override friction.PlannedVerdictPal benchmark plan
Generate a research report from a controlled paper set; verify every claim against sentence-level citationscitation faithfulness, methods completeness, PRISMA trace, source coverage, overstated conclusion rate.PlannedVerdictPal benchmark plan
Model Basic, Pro, Scale, and Enterprise fit for a student thesis, policy brief, pharma SLR, and lab collaborationannual cost, report volume, table width, screening scale, collaboration needs, data terms.PlannedVerdictPal benchmark plan

PRICING DECK · checked 2026-06-09

Desk pick

Pro

$49

month

  • $588/yr annual billing; monthly list higher
  • Verify live regional checkout before publishing procurement advice.

Scale

$169

month

  • $2,028/yr annual billing
  • Verify live regional checkout before publishing procurement advice.

RAW · checked 2026-06-09: Basic free: 2 reports/mo, search/summaries/chat, 2 columns · Pro USD 49/user/mo billed annually: 5,000-paper systematic review workflow, 144 reports/reviews/yr, 20 columns, API · Scale USD 169/user/mo annual: collaboration, figures, 240 reports/reviews/yr, 30 columns · Enterprise custom.

RESEARCH LOG · desk notes

What we learned while building this dossier — not vendor copy.

Notion Card pipeline ↗

Notion research pass

Elicit is no longer just a paper-search assistant; it is positioning itself as an evidence-synthesis system for reports, systematic reviews, dynamic screening, extraction, and sentence-level citations over a very large scientific corpus. The richer data supports a higher-confidence card, but the recommendation still depends on benchmarked extraction accuracy against a hand-coded table.

VerdictPal git ↗

Flagship-ready structure

Converted imported research into metrics, panes, scenarios, benchmark rows, comparison notes, and pricing deck.

COMPETITIVE LENS

Where Elicit wins for cited research — and where a rival still belongs in the stack.

Elicit is stronger when building structured evidence tables across many papers; Consensus may still win for narrower fit, procurement, or specialist depth.

Elicit

  • Building structured evidence tables across many papers
  • Early-stage systematic review screening and extraction workflows

Consensus

  • You need a cheap casual search tool rather than a high-cost research workflow
  • Your review data, uploaded PDFs, or unpublished documents cannot leave local infrastructure without a DPA

UNDER THE HOOD

Vendors named on the product about page — useful for procurement and privacy reviews.

paper discovery
Elicit
claim extraction
Consensus
systematic review support
Scite

DEEP PANES · 6 LENSES

Editorial lenses only. Subscription and API pricing live in their own sections above.

Lens 01

Positioning

Elicit is framed here as Paper discovery, evidence-table extraction, and systematic-review support. Elicit is no longer just a paper-search assistant; it is positioning itself as an evidence-synthesis system for reports, systematic reviews, dynamic screening, extraction, and sentence-level citations over a very large scientific corpus. The richer data supports a higher-confidence card, but the recommendation still depends on benchmarked extraction accuracy against a hand-coded table.

Checked
2026-06-07
Evidence
synthesized
  • Building structured evidence tables across many papers
  • Early-stage systematic review screening and extraction workflows
  • Researchers who need cited summaries plus column-based extraction, not just a chatbot answer
  • Policy, pharma, medtech, and academic teams that value sentence-level citations, PRISMA-style method traces, and auditable extraction

TEST SCENARIOS · hands-on lab

How we exercised the product. Step through each run before you trust the scores.

Test run

Step 1 of 4

Start from the persona in best-for item 1.

BEST FOR

  • Building structured evidence tables across many papers
  • Early-stage systematic review screening and extraction workflows
  • Researchers who need cited summaries plus column-based extraction, not just a chatbot answer
  • Policy, pharma, medtech, and academic teams that value sentence-level citations, PRISMA-style method traces, and auditable extraction

AVOID IF

  • You need a cheap casual search tool rather than a high-cost research workflow
  • Your review data, uploaded PDFs, or unpublished documents cannot leave local infrastructure without a DPA
  • You expect PRISMA-grade results without human screening, extraction checks, and protocol review
  • Your main need is reference management or citation writing rather than evidence synthesis

STRENGTHS

  • Search across 138M+ papers
  • ClinicalTrials.gov source support
  • Paper chat with full-text access
  • Zotero import
  • Automated Reports
  • Systematic Review Workflow
  • Screening up to 5,000 papers on Pro and 40,000 on Enterprise
  • Extraction columns
  • Sentence-level citations
  • PRISMA/methods/search-strategy report outputs
  • API access

WEAKNESSES

  • Pricing jumps quickly from free to Pro/Scale
  • Structured tables and reports still require human validation
  • Uploaded papers/Zotero imports create cloud privacy boundary
  • Corpus and full-text coverage vary by discipline
  • Vendor accuracy claims need independent reproduction
  • Basic plan limits can distort real review workflows

HOW IT COULD IMPROVE

  • Institutional policy friction could be reduced with a local/on-prem deployment option, or at minimum with clear data-handling documentation that compliance teams can review without an NDA.
  • Coverage gaps could be narrowed by expanding the corpus beyond the current strong disciplines, or by surfacing coverage limitations explicitly so the reader knows where not to trust the tool.
  • Privacy posture scores 46/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.
  • Evidence strength scores 52/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.

EDITORIAL EVIDENCE · 4 ENTRIES

TASK

Extract PICO/design/outcome fields from 20 papers and compare against a hand-coded table.

Pending.

↳ exact-match accuracy, quote support, unsupported claims, missed caveats, hallucinated values, correction time.

TASK

Screen 200 records with known include/exclude labels and distractors.

Pending.

↳ sensitivity, specificity, false negatives, exclusion-reason quality, reviewer override friction.

TASK

Generate a research report from a controlled paper set; verify every claim against sentence-level citations.

Pending.

↳ citation faithfulness, methods completeness, PRISMA trace, source coverage, overstated conclusion rate.

TASK

Model Basic, Pro, Scale, and Enterprise fit for a student thesis, policy brief, pharma SLR, and lab collaboration.

Pending.

↳ annual cost, report volume, table width, screening scale, collaboration needs, data terms.

This tool is in the VerdictPal Citation Fidelity protocol — frozen question bank, dual-reviewer grading, results still pending. Citation Fidelity v0.1 →

PRIVACY DEEP-DIVE · checked 2026-06-09

Elicit collects account, device/usage, and service-created research data. Uploaded papers, Zotero imports, BYO documents, screening criteria, extraction tables, and report prompts are cloud-processed. Enterprise pricing states no training on customer data by default; do not assume that boundary for all lower tiers without terms review.

Training on your dataOff by default
EU data residencyEnterprise tier only
SOC 2 attestationNot documented
Local-first by defaultCloud only

WORKFLOW ROLES

How this tool fits into a composed research stack:

paper discoveryclaim extractionsystematic review support

QUALITY GATE · SOLID

Evidence ready
Benchmark pending
  • score-revision 2026-06-09: differentiated from public facts; pending desk verification
  • Flagship-quality promotion 2026-06-04: source-backed dossier promoted; benchmark and public recommendation remain locked until evidence packet is complete.
  • Next action: Run 20-paper extraction benchmark and 200-record screening recall test; verify every report claim against sentence-level citations.
  • Has API: true
  • Public recommendation: false
  • evidence-override: Notion source-of-truth sync; evidence remains source-backed until desk benchmark or hands-on pass.
  • Flagship-ready structure generated from Notion deep research and imported git fields on 2026-06-09.

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