CiteClear checks whether sources are real, relevant, current, and accurately represented — in minutes, not the hours a paralegal or researcher spends doing it manually.
With AI generating more content, hallucinated citations are becoming a major credibility risk. Most damage comes from sources that don't exist, claims that drift from their sources, or evidence that's too weak or outdated.
Large language models create plausible-looking citations that point to non-existent sources, damaging credibility when fact-checked.
The article is real, but the quote, summary, or cited claim significantly overstates or misrepresents what the source actually supports.
Sources are traceable but lack credibility, currency, or sufficient authority to support the claims made in academic or professional contexts.
A hallucinated citation caught before filing costs minutes to fix. The same error caught by opposing counsel, a client, or a journal editor costs far more — in rework, reputation, and in legal contexts, potential sanctions.
Upload your document, automatically detect citations, verify source authenticity, check for AI hallucinations, and get a comprehensive validation report.
Advanced AI detection for hallucinated sources combined with rigorous verification: check source existence, validate links, analyze formatting, detect staleness, verify quote accuracy, assess claim alignment, and evaluate source credibility.
CiteClear surfaces deterministic failures first, then recommends where AI-assisted review is worth the extra pass. Each issue includes the reason it was flagged and what to do next.
Run your first check →Different documents fail in different ways. The verification workflow stays the same.
CiteClear is built to separate provable failures from interpretive review, instead of blending everything into one black-box response.
Source existence, links, citation structure, and source dates come first. Quote fidelity, claim-to-source alignment, and credibility scoring come second. The report makes that boundary explicit so reviewers know what is certain and what still needs judgment.
Manual citation review is invisible overhead that compounds across every document your team produces.
Checking 40 citations in a brief manually takes a paralegal 4+ hours. That's billable time spent on mechanical verification instead of analysis. One bad citation in a court filing can trigger sanctions and client complaints.
AI-drafted research memos ship to clients every day with citations no one checked. A hallucinated source in a deliverable triggers expensive rework cycles, client trust damage, and potential contract exposure.
The same 40-citation document that takes hours to review manually takes minutes with CiteClear. Deterministic checks run first — no AI guesswork until you need it — so reviewers spend time on judgment, not mechanical lookups.
CiteClear keeps the first pass simple and privacy-forward. Run deterministic preflight checks locally, then opt into AI-assisted review only if you want deeper analysis.
The first pass happens in your browser so you can spot obvious citation issues before any AI handoff.
Your pasted document is not used to train or fine-tune AI models.
If you continue to AI-assisted review, that step is explicit and clearly labeled instead of happening behind the scenes.
Weekly insights on citation integrity, AI hallucination detection, and verification best practices. Essential reading for researchers, lawyers, and content creators.
A citation can be genuine and still weaken the document if the claim attached to it overreaches, compresses nuance, or borrows authority it does not actually carry.
The citation may be technically correct but still drag down the work if the evidence is outdated for the market, legal issue, or research question in front of you.
This is where AI-generated reports and fast-moving decks break down: the citation looks polished, but no traceable source stands behind it when someone checks.
Paste your text and get a verification report in minutes. No account needed.