• Home
• News

Legora Wants AI to Do More Than Help Lawyers — It Wants to Change How Legal Work Begins

For years, artificial intelligence in the legal sector was primarily viewed as a productivity tool capable of summarizing contracts, searching documents, drafting clauses and helping lawyers find information more quickly.

Legora is now taking a broader approach.

The legal AI company is heading to GITEX GLOBAL 2026 as a Conference Headline Sponsor, positioning its technology as an agentic operating system for legal work. Rather than simply responding to individual prompts, Legora’s AI can plan, execute and review multi-step legal tasks, while lawyers remain responsible for decisions requiring professional judgment.

The company’s strategy has accelerated significantly during October. Legora has introduced an agentic intake system for corporate legal departments, launched Skills that allow legal teams to teach AI their preferred ways of working, unveiled more than 30 integrations across the legal technology ecosystem and expanded connections with contract, document-management and legal research platforms.

On October 21, the company also raised $550 million in Series E funding at an $8.8 billion valuation, providing additional capital for international expansion and further development of its agentic operating system.

That makes GITEX 2026 an important moment for the company.

The central question is no longer whether lawyers will use generative AI, but how much of the legal workflow they will eventually allow AI agents to handle.

Legal AI Is Moving Beyond the Blank Page

The first wave of generative AI offered lawyers an immediate productivity boost. A lawyer could ask an AI system to summarize a document, prepare a first draft or explain a complex passage.

However, these capabilities typically focused on individual tasks.

Legal work is rarely that simple.

A transaction, litigation matter, commercial negotiation or regulatory response can require lawyers to review numerous documents, conduct multiple stages of research, consult internal policies and precedents, analyze correspondence and complete several rounds of review.

Legora’s Agent is designed around this more complicated workflow.

Instead of responding to one instruction and stopping, the Agent can analyze a task, develop a plan, select tools, work across documents and data sources, complete multiple steps and prepare an output for a lawyer to review.

Human professionals remain responsible for decisions requiring legal judgment, while the AI handles more of the preparation leading up to that judgment.

Legora’s Agentic AI Is Changing How Legal Work Begins

One of the biggest differences in Legora’s approach is its focus on the workflow surrounding legal requests rather than simply the final document.

In a traditional model, a lawyer may receive a request, gather the necessary information, search through documents, conduct research and only then begin producing an answer.

Agentic AI can potentially perform several of those preliminary activities before the lawyer becomes directly involved.

That changes the role of AI from a tool that responds to lawyers into a system that can actively prepare work for them.

The result could be particularly important for large legal teams dealing with high volumes of repetitive requests.

Intake Creates an AI-Powered Front Door for Legal Teams

Legora’s Intake product is designed to address the first stage of the legal workflow: how requests enter a corporate legal department.

Employees across a company regularly need assistance from legal teams.

Sales employees may require contract reviews, procurement teams may need approval for supplier agreements, HR departments may have employment-law questions, while business units may seek guidance on policies or regulations.

Those requests can arrive through email, messaging platforms, meetings or informal conversations. They can also be incomplete or poorly structured, and some may never reach the legal department.

Legora wants AI to become the entry point for this process.

AI Agents Can Prepare Legal Requests Before Lawyers Step In

Intake creates what Legora describes as an agentic front door for in-house legal teams and is already available through Slack.

An employee can submit a legal request, after which the Legora Agent can begin gathering information, applying the legal department’s instructions and playbooks and preparing relevant material before a lawyer takes over.

This differs from traditional legal intake software, which mainly organizes and routes requests.

An agentic intake system can potentially work on the request while organizing it.

For corporate legal departments, that could reduce the amount of time lawyers spend answering routine questions or repeatedly asking employees for missing information.

Instead, lawyers could receive structured requests with some of the initial work already completed.

Skills Turns Legal Expertise Into Reusable AI Workflows

Another important Legora development is Skills.

While general AI models can understand language and legal concepts, they do not automatically understand how a specific legal organization operates.

Different law firms may approach the same contract differently. Companies can also have unique drafting standards, negotiation positions, approval procedures, risk thresholds and preferred language.

Much of this institutional knowledge traditionally exists in templates, playbooks, precedent documents and the experience of senior lawyers.

Legora’s Skills feature is designed to convert these practices into reusable instructions for its Agent.

In effect, legal teams can teach the AI how they want specific types of work to be performed.

A Law Firm’s Knowledge Could Become Its AI Advantage

This approach raises a broader question about competitive advantage in professional AI.

If legal organizations eventually gain access to similar advanced AI models, the model itself may become less important as a source of differentiation.

The greater advantage could come from the knowledge surrounding it.

That includes precedents, internal processes, risk preferences, accumulated experience, argument structures and client-specific knowledge.

Legora’s Skills strategy seeks to turn those characteristics into reusable AI workflows.

Rather than replacing legal expertise, the technology could provide a way to distribute that expertise throughout an organization.

More Than 30 Integrations Connect Legora to the Legal Tech Stack

Legal work rarely takes place inside a single application.

Documents may be stored in document-management platforms, contracts in separate systems, legal research in dedicated databases and transaction documents inside data rooms.

Other systems manage billing, time tracking, document automation and enterprise search, while Microsoft Word remains an important part of everyday legal drafting.

An AI agent that cannot interact with these systems has limited practical value.

Legora therefore introduced an integration ecosystem covering more than 30 connections across document management, enterprise search, data rooms, eDiscovery, ethical walls, time and billing, document automation, contracting and productivity applications.

The strategy moves Legora closer to becoming part of the existing legal technology infrastructure rather than another standalone application.

iManage Integration Brings Enterprise Legal Knowledge Into AI

Legora has expanded its relationship with iManage through the iManage MCP Server.

iManage is widely used by law firms and corporate legal departments to manage documents and institutional knowledge.

Connecting an AI agent with that environment allows lawyers to work with information already managed through systems their organizations rely on.

Context is critical to legal AI.

A model may understand contract law, but it cannot know what a specific client agreed to several years ago without secure access to the relevant documents.

Bringing enterprise knowledge into AI can therefore make agents significantly more useful, while also increasing the importance of security and governance.

Sirion Connects Contracts With AI-Powered Legal Reasoning

Legora’s partnership with Sirion extends its integration strategy into contract intelligence.

The connection is designed to bring Legora’s legal reasoning together with the commercial information stored in Sirion’s contract lifecycle management platform.

Legal teams can potentially combine contracts, negotiated terms, precedents and other commercial information within AI-assisted workflows.

The integration also works in the opposite direction.

Users reviewing or negotiating contracts inside Sirion can access Legora-powered legal research to assess provisions against relevant laws and regulations.

This addresses a long-standing challenge in corporate legal technology: legal rules and business contracts have traditionally been managed in separate systems.

Agentic AI is beginning to connect those environments.

Legal AI Still Needs Evidence and Human Verification

Accuracy remains one of the most important challenges facing generative AI in legal work.

An incorrect answer can be problematic in any professional environment, but the consequences can be particularly serious in legal matters.

Legora’s research approach emphasizes source-backed outputs that lawyers can verify against underlying legal materials.

This becomes even more important when AI agents perform long, multi-step tasks.

An error introduced at an early stage can influence everything that follows.

For that reason, legal AI cannot simply produce answers that sound convincing. Lawyers need to know where information originated and retain the ability to verify the relevant legal authority.

Legora’s BAR Benchmark Tests AI on Real Legal Work

Legora has also developed a benchmark for evaluating how AI models perform on legal tasks.

The Legora BAR, or Benchmark for Agentic Reasoning, assesses models using end-to-end legal tasks based on real-world cases.

Rather than depending exclusively on general AI benchmarks, the system evaluates models using rubrics created by legal professionals.

The approach reflects an increasingly important reality in enterprise AI: there may not be one universally best model.

Different models can perform better in areas such as legal research, document analysis, drafting or complex reasoning.

For companies such as Legora, the real value may increasingly come from the broader system surrounding the model, including tool selection, information retrieval, context management and verification.

BMW Shows How Legal AI Is Entering Large Enterprises

Legora’s expansion is increasingly reaching corporate legal departments, not only law firms.

BMW Group announced in October that it is rolling out Legora across its in-house legal team.

The platform is expected to support legal research, litigation management, contract review, regulatory monitoring and the creation of first drafts based on approved internal standards and precedents.

The implementation is also designed to operate within BMW’s access, security and governance requirements.

The deployment is significant because in-house legal teams have a different relationship with AI than external law firms.

Corporate legal departments operate directly inside businesses and interact with contracts, policies, procurement, compliance and other internal systems.

Connecting AI to these environments could give legal agents a much broader operational role.

In-House Legal Teams Become a Major Growth Opportunity

Legora’s own figures indicate that corporate legal teams are becoming an increasingly important part of its expansion.

In the UK, in-house legal departments have become the company’s fastest-growing customer group and now account for approximately half of its UK customer base.

Financial services, including banking and insurance, are leading adoption.

That trend could make GITEX especially relevant to Legora.

The event brings together banks, telecom operators, governments, energy companies and major corporations across the Middle East, many of which operate large legal and compliance departments.

These organizations also work in heavily regulated industries, where legal teams must manage growing volumes of contracts, regulations and internal requests.

That creates a potentially strong market for agentic legal AI.

$550 Million Funding Gives Legora More Room to Scale

Legora enters GITEX with significantly greater financial resources following its latest funding round.

The company raised $550 million in Series E financing at an $8.8 billion post-money valuation.

The round was led by Atreides Management and included new investors such as Baron Capital, Capital Group, Fidelity Management & Research Company, Glade Brook Capital Partners and J.P. Morgan, alongside existing investors.

Legora said the funding will support expansion in the United States and international markets while accelerating development of its agentic operating system.

Founded in 2023 and launched in October 2024, the company says it has since surpassed $200 million in annual recurring revenue.

Legora also reports more than 1,000 employees across 18 offices and more than 140,000 legal professionals using its platform at over 2,400 law firms and in-house legal teams across more than 80 markets.

The figures highlight how quickly specialized AI software companies can scale.

Why the Middle East Could Be a Major Market for Agentic Legal AI

The Middle East represents an increasingly interesting market for legal AI.

Countries across the region are attracting international investment, developing technology industries and introducing increasingly sophisticated regulatory frameworks.

Businesses operating across the Gulf also frequently manage multiple jurisdictions, languages and cross-border transactions, increasing the complexity of legal work.

At the same time, governments and enterprises across the region are rapidly adopting artificial intelligence.

Legora is already available in the UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, Oman, Egypt and Jordan.

GITEX provides the company with direct access to executives deciding whether AI should remain an experimental technology or become part of their organizations’ operational infrastructure.

What to Expect From Legora at GITEX GLOBAL 2026

Legora has not announced a complete list of GITEX-specific product launches, meaning any additional announcements should remain unconfirmed until officially disclosed.

However, the company arrives in Dubai after an unusually active period of product development.

Intake is likely to attract attention because it demonstrates how agentic AI could change the relationship between employees and internal legal departments.

Skills offers another important example by showing how organizations can encode their own legal standards and working methods into an AI agent.

The growing integration ecosystem is equally important because autonomous legal workflows become more valuable when AI can operate across the systems lawyers already use.

The $550 million funding round also gives Legora additional resources to accelerate its international expansion.

The Next Stage of Legal AI Goes Beyond Productivity

The first wave of legal AI focused largely on helping lawyers complete individual tasks faster.

Legora is targeting something more fundamental.

Its agentic approach aims to influence how legal requests enter an organization, how information moves between systems and how work is prepared before it reaches a lawyer.

If that strategy succeeds, the biggest change may not simply be that lawyers produce documents more quickly.

It could be that the entire process through which legal work begins, develops and reaches professional judgment is fundamentally redesigned around AI agents.