Alexi is a private, single-tenant AI engine built for law firms.
Founded by a team of lawyers, technologists, and AI researchers, Alexi was originally designed to generate accurate, evidence-backed research memos — one of the hardest tasks in legal AI. Today, Alexi powers firm-wide workflows across litigation, transactional, operational, and administrative work.

Each firm receives its own private AI environment, its own accuracy signals, and its own compounding intelligence that strengthens over time and belongs exclusively to the firm.

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Alexi is designed for mid-size and large law firms that need:

• strict governance and data control
• firm-specific reasoning and drafting standards
• deep integration with their DMS and internal systems
• consistency across offices and practice groups
• automated workflows built around firm processes

Primary buyers include CIOs/CTOs, KM leaders, Innovation teams, Practice Group leaders, and Managing Partners.

To give every law firm a private AI advantage — enabling them to work smarter, deliver more value to clients, and build institutional intelligence that compounds over time.

Alexi is built exclusively for legal services — law firms, in-house legal teams, and professional service organizations that rely on legal workflows. We do not target consumer markets or generic enterprise AI use cases.

Alexi has been building AI systems for legal work for nearly a decade — long before generative AI went mainstream. Our early models and retrieval systems were designed specifically for legal reasoning, grounding, and verifying citations at scale.

Each query, draft, and workflow inside your private instance creates reusable institutional memory — strengthening accuracy, consistency, and speed in ways shared platforms cannot replicate.

Evaluation timelines are typically short, around 30 days, given the minimal setup and onboarding required. Early value can usually be demonstrated through side-by-side comparisons of legal tasks performed with and without AI, highlighting both speed and quality gains. Our team will work with you to evaluate a few key automation use cases.

Alexi is built with interoperability in mind. We support document uploads and offer multiple integration options with DMS, case management systems, and email providers.

Alexi can create custom integrations with firm systems. Today our secure API-based connectors support: iManage, NetDocuments, SharePoint, OneDrive, Teams, Outlook, internal DBs, and other practice-specific systems.

Talk to our team to discuss roadmapped connectors and integrations.

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No, Alexi connects to your DMS, search tools, and knowledge repositories so your existing investments become more accessible, more consistent, and more usable inside every workflow.

Through dashboards tracking:

• Adoption by practice group
• Usage
  
• Time saved
  
• Cycle-time reductions
  
• Workflow throughput
  
• Quality metrics

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Alexi operates as a private, single-tenant environment — meaning your firm’s data, knowledge, workflows, and improvements are kept separate from other firms. Nothing is shared, pooled, or used to train global systems. This is fundamentally different from shared platforms that deliver the same generic model to everyone.

No. Many firms use Alexi alongside existing experiments or pilot tools. Over time, firms tend to consolidate toward Alexi because of better control, accuracy, and security.

Most teams see measurable time savings on day one. Full workflow-level ROI (cycle-time reduction, consistency gains) is typically visible in 30–60 days.

Pricing is based on firm size and deployment mode. Speak to our Sales team for more information.

Most lawyers require less than one hour to become productive. For deeper workflow automation, KM and Innovation teams are supported through onboarding sessions and sample workflow libraries.

A dedicated implementation and customer success manager, best-practice templates, workflow design guidance, and ongoing optimization check-ins.

Yes. Many firms start with Litigation or Corporate and expand firm-wide after demonstrating value.

Alexi is headquartered in Canada with customers across the U.S., Canada, and international markets. Our infrastructure supports regional data residency requirements for global firms.

Firms ranging from 50-lawyer boutiques to 500+ lawyer global firms. Usage spans:

• Litigation
• Corporate/Transactional
• Employment
• Real Estate
• Regulatory practices
• KM and Innovation teams
• Research and Library teams
• Operations and administrative workflows

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Alexi is backed by leading North American investors with deep expertise in enterprise software, legal technology, and AI infrastructure. The company is privately held and growing rapidly.

To become the intelligence layer of the modern law firm — unifying knowledge, workflows, and data into a single, governed AI system that improves continuously and becomes a strategic asset.

Three fundamental differences:

1. Private, single-tenant architecture: every firm gets a private instance.
2. Compounding institutional intelligence: improvements stay inside the firm.
3. Workflow engine + retrieval + governance: not a point tool, but an AI platform built around law firm systems and processes.

This allows firms to build a durable, proprietary advantage rather than relying on a shared LLM.

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Yes. Every firm receives a dedicated success manager, implementation support, workflow design guidance, and continuous optimization. Larger deployments include priority support and joint innovation sessions.

Alexi supports research memo generation, drafting, summarization, intake, document extraction, email automation, KM search, precedent reuse, and multi-step legal and operational workflows. We have a large library of pre-built workflows available, as well as the ability for customers to build bespoke, no-code workflows.

Alexi uses zero-data-retention models (no prompts, documents, or outputs are retained by the model provider).

Through proprietary retrieval-first architecture, multi-agent verification, and evidence alignment that enforces the system to ground all reasoning in validated sources.

Yes. Workflows are created through a no-code builder that allows KM, Innovation, and Legal Ops teams to design structured processes.

Yes. Firms can integrate DMS systems and specific internal memos, templates, and documents so Alexi can retrieve, summarize, and incorporate firm-specific materials.

Alexi’s reasoning engine flags ambiguity, lack of authority, or conflicting cases instead of inventing answers.

Through active learning, which continuously strengthens retrieval, reasoning, and workflow performance inside your private instance only.

No. Lawyers can use Alexi immediately through natural legal language or structured workflows. No technical setup or prompting skills required.

Your environment will benefit from model upgrades either automatically, or at your firm’s decision, while your private retrieval and workflow intelligence remains firm-owned.

Shared platforms give every firm the same generic intelligence. Alexi gives your firm a governed AI engine that adapts to your templates, precedent, review standards, and workflows. You can build automation that reflects how your firm works, create institutional memory from repeated usage, and generate outputs aligned to your quality standards — none of which is possible in a shared environment.

Alexi enforces consistent reasoning, structure, and sourcing across all work products. By combining retrieval from authoritative sources with firm templates, review guidelines, and multi-step workflows, Alexi ensures associates, staff lawyers, and partners can all produce work that reflects a unified firm standard — regardless of location or experience level.

Alexi connects directly to your DMS and internal know-how, making firm knowledge discoverable, reusable, and embedded directly into workflows. Over time, the system develops a growing body of contextual intelligence — improving relevance, consistency, and output quality while reducing reliance on siloed or informal knowledge practices.

Point tools solve isolated tasks. Alexi provides a unified intelligence engine that spans research, drafting, review, extraction, precedent reuse, email automation, and complex workflows. Instead of deploying multiple disconnected AI tools, firms use Alexi to centralize quality, governance, data access, and institutional knowledge in one place.

Through a retrieval-first architecture, multi-agent verification, and source grounding. Alexi only answers questions it can support with validated sources and flags ambiguity instead of guessing — reducing risk in research and drafting.

Alexi covers all legal jurisdictions across the United States and Canada.

Yes — SSO, RBAC, audit logs, retention rules, ethical walling, and content restrictions are configurable to firm policy.

Admins can view prompts, usage metadata, workflow output logs, and access settings in a centralized console.

Yes — Alexi is SOC 2 compliant, uses AES-256 encryption, TLS 1.2+, and supports regional data residency and private VPC deployment.

Yes. Firms can disable features, restrict data sources, or limit workflows based on governance needs.

All client data remains inside your private instance with no cross-firm learning, no external training, and strict access controls.

Yes. Alexi maintains SOC 2 compliance and follows enterprise-grade security practices including AES-256 encryption, TLS 1.2+, SSO, RBAC, audit logs, and support for private VPC deployments.

Every firm that chooses to deploy a private cloud model receives a fully isolated, single-tenant instance of Alexi — including retrieval, workflows, memory, security protocols, and governance.

Nothing leaves your private environment. Your prompts, documents, and workflow data never train global models or mix with other firms.

Typically 2–4 weeks, depending on integrations and SSO setup.

Yes — role-based access, region-specific deployments, and practice-specific workflows support firm-wide rollout.

Yes — for firms with strict requirements, Alexi can be deployed in a private or dedicated VPC per firm.

Law firms can no longer rely on shared AI platforms that deliver the same general-purpose model to every firm. Competitive advantage, client expectations, and regulatory pressures require AI that is isolated, permissioned, and fully governed. A private instance ensures your firm’s data, know-how, and workflows remain yours — not mixed with or exposed to the broader market.