Legora
Legora · Legora: Agentic Legal AI Platform for Law Firms and In-House Teams
Legora is a legal AI platform, which it calls an agentic operating system (aOS), in which the Legora Agent plans, executes, reviews and delivers multi-step legal work such as research, contract review, drafting and closing checklists. It is sold through demos to law firms of all sizes and to in-house legal teams, and works in the browser, Microsoft Word, Outlook and mobile apps.
Best for
Law firms, from boutiques to global firms, and in-house legal teams that want an agent to run multi-step review, drafting and research inside their existing DMS, Word and Outlook setup, with permissions and ethical walls carried over
Not ideal for
Individuals or teams that want to sign up and try a tool today, buyers who need published per-seat pricing, non-legal teams, and organizations that require self-hosting or a public developer API
Who it's for
Lawyers, knowledge managers and legal operations staff at law firms of all sizes and in-house legal departments
Capabilities
- Legora Agent: plans a task, runs multi-step work across documents, data sources and Legora tools, reviews its own output against the goal, and delivers the result to the project workspace for lawyer approval
- Agentic harness that handles tool routing, memory, model selection and guardrails, and runs specialist sub-agents in parallel
- Tabular Review: imports documents from a DMS, internal repository or virtual data room into a table with one row per document and prompts as columns, with each cell expandable to its reasoning and sources
- Workflows: no-code builder for repeatable multi-step tasks (for example supplier agreement analysis, litigation timelines, S-1 risk factors), with a library of pre-built workflows and role-based access
- Skills: encode a team's standards and processes for the Agent, plus a library of 250+ legal skills across 20+ practice areas
- Word add-in for agentic drafting and redlining, Playbooks with positions and fallbacks for contract review, template filling, anonymization and DeepL-powered translation
- Outlook add-in that summarizes threads, drafts replies and saves emails and attachments to a matter or project
- Legal research across multiple sources and jurisdictions with citations, built on publisher partnerships and an ontology of legal sources
- Monitors for regulatory horizon scanning by jurisdiction and topic, with filtering, prioritization, owners and an audit trail
- Editor: AI-native drafting environment that turns Tabular Review, research and Assistant output into cited documents, with real-time collaboration and export to Word in a house style
- Lists: the Agent drafts closing checklists and task lists from transaction documents, with clause references, owners and due dates
- Intake for in-house teams: the Agent takes legal requests (launched in Slack), asks for missing details, routes them as tracked tasks and prepares a first draft from the team's Skills and playbooks
- Portal: white-label client workspace where clients can share files, query documents and run a firm's workflows without seeing the underlying prompts
- 30+ integrations across document management, data rooms, eDiscovery, ethical walls, time and billing, CLM and e-signature, plus MCP connections in both directions
Limitations
- No public pricing, free plan or self-serve trial; access starts with a demo and an order form
- Built only for legal work; it is not a general business assistant
- Integration availability varies by customer and some integrations are rolling out in phases, so confirm the connectors you need with Legora
- Intake launched in Slack in October 2026 with Microsoft Teams, email and MCP announced as planned; the Intake page now lists all four channels, so confirm which are live for your account
- The ontology-based legal research layer was announced in limited beta in September 2026, with general availability planned for Q4 2026
- The underlying language models are not named on Legora's product pages
- No self-hosted deployment or public developer API is documented
- AI-generated legal work still requires review by a qualified lawyer before it is relied on
Use cases
- Reviewing a virtual data room in M&A due diligence and extracting change-of-control, assignment and termination terms into a cited table
- Redlining counterparty paper in Word against the team's own playbook positions and fallbacks
- Drafting a first-pass research memo across several jurisdictions with citations to primary law
- Generating a closing checklist with conditions precedent from a credit agreement and assigning owners
- Triaging NDA and contract requests from the business in Slack, with routine requests completed automatically and the rest routed to a lawyer
- Tracking regulatory changes for selected jurisdictions and topics and turning them into client alerts or internal briefings
Our take
Legora and Harvey are now the two default shortlist names for legal AI, and on paper they cover nearly the same ground: an agent, bulk document review, no-code workflows, Word and Outlook add-ins, DMS integrations, ethical-wall enforcement through Intapp and iManage, regulatory horizon scanning and enterprise security. What stands out with Legora is how much of the surrounding work it pulls into the same system: Lists for closing checklists, a white-label client Portal, Slack-based Intake for in-house requests, and integrations that let the Agent work on documents in the DMS, data rooms and CLM, saving new versions back to the DMS rather than copying files around. It also has dedicated offerings for small and mid-sized firms and lean in-house teams, not only the AmLaw tier. The costs are that you cannot see a price or try it without a sales process, usage is billed partly through Credits on top of a platform fee, several pieces (the new research layer, some Intake channels, some integrations) are still rolling out, and the models behind it are not disclosed. Run a pilot on your own matters, ideally alongside Harvey, and check which of your systems are actually connected before you sign.
Who should use it
Law firms and in-house legal teams that do high volumes of document review, contract negotiation, due diligence or regulatory work, already keep their documents in a DMS such as iManage or NetDocuments, and want an agent that works inside Word, Outlook and their existing permission model.
Who should skip it
Solo practitioners or teams that need instant self-serve access or transparent pricing, non-legal teams, and organizations that need on-premises deployment or want to build their own tools on a documented public API.
Strengths
- Agent plans, executes and checks multi-step legal work and hands back reviewable work product rather than chat answers
- Broad product surface in one system: Tabular Review, Workflows, Skills, Monitors, Lists, Portal and Intake
- Works where lawyers already work: web, Word, Outlook, iOS and Android, plus a ChatGPT Enterprise plugin via Legora's MCP server
- Integrations read permissions and ethical walls from source systems on each request, with an audit trail
- SOC 2 Type II, ISO 27001 and ISO 42001, GDPR, no training on customer data, SSO and an optional bring-your-own-key encryption
- Explicitly targets small and mid-sized firms and lean in-house teams as well as large firms
Weaknesses
- No public pricing or self-serve trial
- Several capabilities and integrations are rolling out in phases or in beta
- Underlying models are not disclosed on product pages
- No public developer API or self-hosted option is documented
- Outputs still require lawyer review
Legora pricing
Custom
Contact sales
- No published prices; starts with a demo
- Offered to law firms (including small and mid-sized firms) and in-house teams
- Deployment configured with Legora's Legal Engineers
- Enterprise security packages with control over where data is stored, retention periods and bring-your-own-key encryption
Note: Legora does not publish pricing or seat minimums. Its Global Terms and Conditions (last updated September 2026) describe a recurring platform fee set in the order form plus Credits that are consumed when using AI features, including agentic tools, so total cost depends on both the contract and usage. Third-party per-seat estimates circulate online but are not confirmed by Legora.
Technical specs
Modalities
Text, Documents, Spreadsheets, Email
Where Legora excels
Due diligence on a data room
Datasite, Intralinks and DiliTrust integrations bring data-room documents into Tabular Review with permissions carried through, so a deal team can extract cited key terms across the whole set and turn follow-ups into a List.
Contract negotiation in Word
Playbooks hold the team's starting positions, non-negotiables and fallbacks, and the Word add-in applies them to counterparty paper, so reviewers start from suggested redlines instead of a blank comparison.
Handling business requests in a small in-house team
Intake takes requests in Slack, collects missing details, assigns an owner and prepares a first draft, and logs task types and turnaround times, which gives legal leaders data on demand they rarely have.
Regulatory horizon scanning as a client service
Monitors tracks chosen jurisdictions and topics and keeps triage, owners and an audit trail in the same system where the follow-up research and client alert are drafted.
Legora vs. competitors
Legora vs. Harvey
Harvey is Legora's most direct substitute: both sell demo-led enterprise legal AI with agents, bulk document review, no-code workflows, Word and Outlook add-ins, DMS integrations, regulatory horizon scanning and ethical-wall enforcement through Intapp and iManage Security Policy Manager. Harvey emphasizes its legal data partnerships (LexisNexis, Wolters Kluwer and others), its Vault and a documented developer API and hosted MCP server. Legora emphasizes an end-to-end aOS with Lists for closing checklists, a white-label client Portal and Slack-based Intake around its Agent, a ChatGPT Enterprise plugin, and dedicated offerings for small and mid-sized firms. Feature lists are close enough that a side-by-side pilot on your own matters is the most reliable way to choose.
Legora vs. General-purpose assistants (ChatGPT, Claude)
General assistants can draft and summarize legal text, but they do not connect to legal DMS permissions, ethical walls, data rooms or legal research sources out of the box. Legora adds those, plus legal-specific review and checklist tools. Legora also works alongside ChatGPT Enterprise through its plugin, returning cited answers inside ChatGPT.
Frequently asked questions
What is Legora?
Legora is a legal AI platform that it describes as an agentic operating system (aOS) for legal work. Its Legora Agent plans and carries out multi-step tasks such as document review, research and drafting, and products like Tabular Review, Workflows, Monitors, Lists, Portal and Intake are built around it. It is used in the browser, Microsoft Word, Outlook and mobile apps.
How much does Legora cost?
Legora does not publish prices. Access starts with a demo and a custom order form. Its global terms (updated September 2026) describe a recurring platform fee plus Credits consumed by AI features, including agentic tools. Per-seat figures that circulate online are third-party estimates.
Is Legora only for large law firms?
No. Legora has dedicated offerings for small and mid-sized firms and for lean in-house legal teams, as well as large law firms, enterprise legal departments and the public sector. All of them buy through a demo and sales process.
Does Legora integrate with iManage and NetDocuments?
Yes. Legora integrates with iManage, NetDocuments, SharePoint, Box and Google Drive, so lawyers can browse, work on and save back documents without downloading them. Access mirrors the source system's permissions, and ethical walls carry over through Intapp Walls for AI and iManage Security Policy Manager. Availability varies by integration, so confirm with Legora.
Is Legora secure, and does it train on our data?
Legora says it holds SOC 2 Type II, ISO 27001 and ISO 42001 certifications, operates under GDPR, and does not use customer data to train or fine-tune AI models. Data is encrypted in transit (TLS 1.2 or higher) and at rest (AES-256), with SSO and an optional bring-your-own-key encryption.
Legora vs Harvey: what is the difference?
Both are demo-led legal AI platforms with agents, bulk review, workflows, Word and Outlook add-ins, DMS integrations and ethical-wall enforcement. Harvey leans on its legal data partnerships and a documented developer API and MCP server, while Legora packages more of the surrounding work (closing checklists in Lists, a white-label client Portal and Slack Intake) into its aOS and has dedicated offerings for smaller firms. A pilot on your own matters is the best way to choose.
Can I use Legora inside ChatGPT?
Yes, if your organization uses both ChatGPT Enterprise and Legora. Legora's ChatGPT Enterprise plugin runs through Legora's MCP server and returns cited legal answers that link back to Legora for source review, with Legora permissions carried over. Editing documents, running workflows and other actions still happen in Legora itself. Microsoft Copilot is also listed among Legora's productivity integrations.
Integrations & fit
Alternatives to consider
About Legora
Legora started as a collaborative legal AI workspace (founded in Stockholm in 2023, platform launched October 2024) and in May 2026 relaunched itself as the Legora aOS, with the Legora Agent at the center. You hand the Agent a task, it proposes a plan, works across documents, data sources and Legora's own tools (search, drafting, redlining, Tabular Review, legal research), checks whether it met the goal, and puts the result in the project workspace for a lawyer to review. It can also produce Word, Excel and PowerPoint deliverables, and Legora says it can act proactively on new email, documents and project activity. Around the Agent sit the products most firms will actually touch: Tabular Review for extracting cited answers from thousands of documents into a shared table, Workflows for no-code, reusable multi-step tasks, Skills (with a library of 250+ pre-built legal skills) for encoding a team's standards, Playbooks for contract review in Word, Monitors for regulatory horizon scanning, Lists for Agent-generated closing checklists and task tracking, Editor for AI-native drafting with Word export, Portal for white-label client collaboration, and Intake, a front door for in-house teams that launched in Slack in October 2026 and turns business requests into tracked work. Legal research runs on publisher partnerships and Legora's own sources, with a new ontology-based research layer and citator that Legora announced in limited beta in September 2026, with general availability planned for Q4 2026. Since October 2026 Legora has listed 30+ integrations, including iManage, NetDocuments, SharePoint, Box, Google Drive, Datasite, Intralinks, Everlaw, Intapp Walls, Ironclad, Docusign, Slack and Teams, and its MCP server powers a plugin that returns cited Legora answers inside ChatGPT Enterprise. Permissions and ethical walls are read from the source systems. Legora's closest substitute is Harvey; the two overlap heavily, so the decision usually comes down to a hands-on pilot, DMS and data-source fit, and price. The tradeoffs are that there is no public pricing or self-serve trial, rollouts are configured with Legora's Legal Engineers, integration availability varies by integration and customer, the underlying models are not named on the product pages, and every output still needs lawyer review.
Updates from Legora
Legora repositioned its platform as an agentic operating system for legal work, with the Legora Agent at its core, connected to firm knowledge, document systems and research sources, and used through web, Word, Outlook and mobile interfaces. Deployments are configured with Legora's Legal Engineers.
Shared customers can ask Legora legal questions from ChatGPT Enterprise through Legora's MCP server and get cited answers that link back to Legora. Permissions carry over, and anything beyond answering, such as editing documents or running workflows, stays in Legora.
Intake lets employees raise legal requests by @mentioning Legora in Slack. The Agent asks for missing details, routes the request as a tracked task and prepares a first draft from the team's Skills and playbooks. A lawyer reviews by default; pre-approved routine requests can be completed end to end.
Legora announced more than 30 integrations across document management, enterprise search, data rooms, eDiscovery, ethical walls, time and billing, document automation, contracting and productivity apps, rolling out to customers in phases.
Legora announced a $550 million Series E at an $8.8 billion post-money valuation, led by Atreides Management, to fund expansion and further investment in the Legora aOS.
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