Outputs must stand up to review
Legal analysis, policy summaries, and document findings need a clear path back to the underlying source material.
Lexandro.ai helps public institutions, regulators, agencies, and government legal teams review documents, research applicable law, and prepare defensible work in a private, source-grounded environment.
Every answer remains connected to the materials and legal sources behind it.
Customer data is isolated and never used to train public AI models.
Answers cite the legal and institutional materials they rely on.
Hosting can align with the jurisdiction or region selected for the organisation.
Admins can review usage, cost, access, and operational activity.
Security, DPA, and enterprise review workflows are supported.
Speed only matters if the work remains explainable. Public-sector teams need AI that respects sensitive data, internal process, procurement requirements, and the reality that decisions may be reviewed later.
Legal analysis, policy summaries, and document findings need a clear path back to the underlying source material.
Teams often face high-volume procurement files, consultations, compliance reviews, and mixed document sets.
Public bodies cannot treat legal AI as a casual assistant. Access, privacy, hosting, and review controls matter from day one.
Leaders need visibility into usage, cost, and risk so AI can be rolled out responsibly across departments.
Lexandro.ai combines private workspaces, legal knowledge, document tools, citations, and analytics so public-sector teams can use AI without losing control over sources, data, cost, or review process.
Upload files, connect repositories, and keep materials under organisational control.
Ground answers in selected legal sources and private knowledge.
Review summaries, findings, and answers with visible source references.
Use Lexandro.ai where legal teams need to move faster while keeping work structured, explainable, and reviewable.
Ask questions across selected legal sources, internal materials, and uploaded files with source-linked answers.
Review tenders, agreements, annexes, and supporting documents for risks, obligations, and inconsistencies.
Summarise large files, identify key issues, and prepare review-ready notes for internal stakeholders.
Reconstruct events, deadlines, and document sequences from complex collections using Timeline.
Public-sector use of AI needs more than a fast response. Lexandro.ai keeps findings connected to sources, supports controlled workspaces, and gives teams the visibility needed to review how legal work was produced.
Every answer can point back to supporting materials.
Outputs can be checked before they move into formal work.
Usage and cost are visible for responsible adoption.
Combine jurisdiction-relevant legal sources with the organisation’s own documents, files, policies, templates, and matter history.
Work with the legal sources, terminology, and drafting conventions relevant to your institution.
Turn internal documents into searchable, citable institutional knowledge while keeping control over access and use.
Data is isolated, never used for public training, locally aligned for hosting where required, and GDPR-aligned, with a DPA available.
Yes. Multi-document sessions analyze large sets in one pass, built for high-throughput work.
Yes. Every finding cites its source, and Timeline reconstructs the sequence of events for regulators and internal audit.
Data is isolated for each customer, encrypted, never used to train public models, and can be hosted locally in line with applicable law and regulation, with appropriate safeguards for any international transfers.
Contact us to discuss your security requirements. We support security reviews and can accommodate enterprise procurement processes.
You approve the cost of each job before it runs, and usage visibility supports oversight across teams.
Request a demo and we will show Lexandro.ai on the scale and security your work requires.