How LeapSpace supports trust and security

LeapSpace supports transparency by making AI-assisted outputs reviewable, traceable, and explainable within research workflows.

• Trust Cards show how a claim aligns with its cited source. Claim Radar shows how it holds up across the broader body of research. Together they provide two layers of trust: claim-to-source accuracy, and research-level context.

• Linked citations connect outputs directly to underlying source material

• Visible answer steps show how outputs are produced

These features help researchers and institutions verify information and understand how results are generated, without relying on opaque systems.

LeapSpace draws only from trusted scientific and institutional sources. Content foundations include:

• Peer-reviewed journal content indexed in Scopus

• Scholarly books and reference works

• Curated funding data from recognized institutional sources

New content is added continuously, and retracted articles are excluded as part of ongoing governance processes. This helps ensure researchers and institutions work with current, reliable, and responsibly curated information.

Learn more about LeapSpace content coverage

Human expertise is embedded across LeapSpace, including:

• Content curation and selection

• Model evaluation and quality assurance

• Ongoing validation and governance

LeapSpace is designed to reinforce — not replace — human research judgment, supporting responsible use across research workflows.

LeapSpace is publisher-neutral by design:

• Results are ranked based on relevance, with a small boost for recency

• Publisher ownership and discipline do not influence ranking

• An independent advisory board supports continued neutrality and transparency

This ensures institutions can adopt AI-assisted research tools without introducing preferential treatment or hidden bias.

LeapSpace follows Elsevier’s robust knowledge and cyber-security framework, aligned with ISO 27001 risk-management principles. Built with enterprise-grade security and a responsible AI approach, it safeguards both users and institutions.

• Data security

• Privacy protection, in line with Elsevier's privacy principles

• Governance, compliance, and risk review

This allows LeapSpace to be evaluated alongside existing IT, security, and procurement standards. It supports responsible AI use and privacy, protecting both individual researchers’ work and organizational data.

Learn about how Elsevier ensures privacy and security at every step