Alexi - 2026 Pricing, Features, Reviews & Alternatives

Alexi is a private-cloud AI platform designed for law firms ranging from 50-lawyer boutiques to 500+ lawyer global firms, as well as in-house legal teams and professional service organizations across the U.S., Canada, and international markets. Each firm receives a dedicated, fully isolated single-tenant instance with no cross-firm data sharing and no vendor-side model training on firm interactions. Core capabilities span legal research memo generation with citation-backed analysis, AI-assisted drafting of pleadings, contracts, and filings aligned to firm templates and precedent, document analysis for surfacing critical facts and risks, document comparison, and structured table extraction from unstructured documents.

The platform is built on an agentic Retrieval-Augmented Generation architecture with purpose-trained AI agents for structured legal reasoning, citation verification, and multi-step workflow execution. Modular workflow automation supports both pre-built and firm-customizable templates, converting repeatable legal tasks into governed, scalable processes. Matter-level organization tracks all queries, uploads, and generated documents in a unified workspace. A chat-based conversational interface handles ad hoc legal queries across practice areas including litigation, corporate and commercial, mergers and acquisitions, commercial real estate, financial services, securities and capital markets, and technology.

Alexi's active learning system builds compounding institutional intelligence from approved decisions and outputs, making firm knowledge discoverable and reusable over time without leaving the firm's private environment. Deployment options include private cloud with regional data residency and self-hosted configurations. Security infrastructure includes AES-256 encryption, TLS 1.2+, SSO, RBAC, audit logs, private VPC deployment, and SOC 2 certification. The platform supports white-label, firm-branded deployment with custom domain configuration and integrates with existing DMS, case management, authentication, and internal tool ecosystems without requiring a dedicated AI team to configure or maintain.