Everything your reviewers will ask for

Compare enterprise legal AI by deployment boundary, matter context, governance, source grounding and reasoning workflow.

A practical buyer framework covering architecture, sources, agents, governance and deployment without pretending one platform is best for every firm.

Enterprise requirements for matter context, source grounding, agent governance, permissions and deployment.

How matter intelligence, evidence, authority and adversarial reasoning fit together for disputes.

A practical architecture guide to dedicated tenancy, private cloud, on-premise inference and external model egress.

The controls firms should enforce around models, matters, agents, sources, review and audit.

A practical RFP and evaluation framework covering legal performance, source quality, privacy, model routes, governance and deployment.

How to evaluate matter access, retention, subprocessors, model routes, client restrictions and zero-egress claims.

How full-record retrieval, source coordinates, contradictions and Matter Pulse change document review.

Why matter context, source provenance, authority verification and governance matter beyond the underlying model.

A factual architecture comparison based on current public vendor materials.

Governed matter intelligence compared with Legora's agentic operating system for legal work.

Deployment topology, isolation boundaries, key handling, and control mapping. Shared under NDA.

The document to attach to a client security questionnaire or outside counsel guidelines review.

Model reclaimed hours and incremental billable capacity against your own rates.

How shared-cloud legal AI differs from a private-perimeter Sanctum Lex deployment.

How the enclave, the repository, the interrogation engine, and the agents fit together.

Versioned evaluation design for retrieval, citation faithfulness, refusal accuracy and legal-workflow quality.

Representative matter workflows for evaluating Sanctum Lex against real legal work.