What's New in Litera's Legal AI Platform and Legal AI Agent: June 2026 Release
AI Summary
What's shipping in the Litera June 2026 release? This page covers every enhancement in the June 2026 Litera One release: how comparison profiles and rendering sets now apply to redlines on the cloud platform, what Clean+ does and why it replaces the need for an on-premises metadata cleaning server, what the unified Litera One Admin Center gives administrators, and what's new in Lito, Litera's award-winning Legal AI agent. It also addresses the question firms most commonly ask before migrating to a unified cloud platform: does moving to the cloud mean giving up the accuracy and control high-stakes work demands?
TL;DR
- Comparison profiles and rendering sets now apply to redlines on Litera's unified cloud platform, removing the migration barrier most firms named
- Clean+ reaches general availability as Litera-hosted, server-class metadata cleaning, replacing the on-premises server without replacing the deterministic engine firms already trust
- Lito can now export artifacts directly to Word, Excel, and PDF; new litigation skills and playbooks extend what Lito can automate across the practice of law
- The unified Litera One Admin Center gives administrators one cohesive experience to govern every Litera product they manage
- Moving to the cloud now means gaining capability, not trading it away
Table of Contents
- What Is in the Litera June 2026 Release?
- How Does Litera Let Firms Apply Redline Rendering Sets in the Cloud?
- What Is Clean+ and How Does It Protect Outbound Documents?
- What Does the Unified Litera One Admin Center Do?
- What's New in Lito: Artifact Export, Litigation Skills, and Playbooks
- Why Litera and Not an AI-First Startup?
- Frequently Asked Questions
The Question Firms Have Been Asking
For many firms, the move to a unified cloud platform has stalled at the same point: the redline. Not because lawyers don't want the efficiency. Not because IT doesn't see the value in shedding on-premises infrastructure. But because the redline is where a firm's standards live, and the cloud platform hadn't yet let firms bring those standards with them.
The June 2026 Litera One release answers that directly. Comparison profiles and rendering sets now apply to redlines on the cloud platform. That was the stated requirement for many customers before they would migrate, and this release delivers it, along with four other enhancements that reflect the same principle: moving to the cloud should mean gaining ground, not giving it up.
What Is in the Litera June 2026 Release?
The June 2026 release delivers five enhancements:
- Comparison profiles and rendering sets that apply to redlines on the unified cloud platform
- Clean+, Litera-hosted server-class metadata cleaning, now generally available
- Lito artifact export to Word, Excel, and PDF, new litigation skills, and the ability to initiate standard playbooks
- The unified Litera One Admin Center, giving administrators one cohesive experience to manage every Litera product they're authorized to manage
Each enhancement stands on its own. Together, they make a single case: when the practice of law runs on a trusted, unified platform, the compounding intelligence of every document comparison, every matter update, and every client interaction starts working for the firm, not just for the task in front of it.
How Does Litera Let Firms Apply Redline Rendering Sets in the Cloud?
Redline consistency isn't cosmetic. On high-stakes work, an inconsistent redline erodes the trust a firm has built into its work product. Clients and counterparties notice. Partners notice. And on the documents that carry the most risk, inconsistency isn't just a presentation problem. It's a credibility problem.
Litera now lets administrators and users apply comparison profiles and rendering sets to redlines on the unified cloud platform. Administrators can create organization-wide rendering sets and set a firm default. Individual users can create personal rendering sets and choose their own default. At the moment of comparison, the selected set applies to the redline consistently across one-to-one, one-to-many, and many-to-many comparison, and across Word, PDF, and PowerPoint.
The redline that leaves the firm looks exactly the way the firm intends, every time.
This matters because Litera's comparison engine has been built on a proprietary redline algorithm for 30 years, one that's 100% more accurate than general-purpose large language models (LLMs) on contract comparison tasks. The rules-based engine delivers deterministic accuracy where a probabilistic guess carries real professional risk. Now that accuracy and that control travel to the cloud without compromise. For firms evaluating cloud document comparison, this release removes the last reason to wait.
What Is Clean+ and How Does It Protect Outbound Documents?
Every email a lawyer sends carries hidden risk. Tracked changes, comments, author details, revision history, and embedded content travel with attachments by default. A single missed scrub can expose privileged work, reveal negotiating strategy, or breach client confidence before anyone realizes it happened.
Clean+ is Litera-hosted, server-class metadata cleaning, the cloud-hosted evolution of the most-deployed legal metadata cleaning software in the practice of law, formerly known as Metadact Server, now generally available. It routes attachments through Litera servers, so firms get server-class enforcement without provisioning hardware, applying patches, or maintaining infrastructure of their own. The deterministic, rules-based engine that 42% of the market already trusts (ILTA Tech Survey, 2025) still powers every clean. What changed is who runs the server: Litera does.
Built on Office Add-ins, Clean+ protects documents across classic Outlook, new Outlook, Outlook for Mac, Outlook on the Web, and mobile, governed by one configuration and one policy. Cleaning runs silently in the background. Lawyers change nothing about how they work.
Clean+ detects and removes 300-plus metadata types across Word, Excel, PowerPoint, PDF, ZIP, and embedded files in sub-second time. It's certified ISO 27001, SOC 2 Type 2, and SOC 3, and aligned to GDPR, NIS 2, and DORA: security built for the legal market, not retrofitted from another industry. Probabilistic Artificial Intelligence (AI) tools can't be trusted to decide what metadata stays and what gets stripped. The cost of a wrong call is privilege loss, not a rewritten paragraph. Deterministic enforcement is the only standard that holds.
What Does the Unified Litera One Admin Center Do?
Governing a multi-product platform across a large firm shouldn't require switching between disconnected admin experiences. The time administrators spend navigating inconsistent interfaces is time not spent on the governance and configuration that actually protects the firm.
The unified Litera One Admin Center gives administrators one cohesive experience to manage every Litera product they're authorized to manage. A platform admin portal handles cross-cutting concerns: user management, licensing, and global settings. Specialized admin centers handle product-specific administration, all sharing one design system and one identity.
The model reflects how the largest multi-product platforms organize administration: a central hub for platform-level concerns, purpose-built admin centers for each product experience. Administrators experience a unified ecosystem rather than a collection of disconnected tools. And as new Litera products join the platform, the Admin Center scales with them, with no rework required.
What's New in Lito: Artifact Export, Litigation Skills, and Playbooks
Lito, Litera's award-winning Legal AI agent, gains three meaningful enhancements in this release.
Export Artifacts to Word, Excel, and PDF
Lito can now export artifacts from its Canvas panel directly to Word, Excel, and PDF. AI output that used to live inside a chat window becomes a client-ready document, a working spreadsheet, or a shareable PDF in a single step. The work flows into the downstream tools lawyers already use, with no retyping and no lost fidelity. For lawyers asking whether they can export Legal AI output to Word and Excel: the answer is yes.
New Litigation Skills
New Lito skills extend what the platform can automate across litigation work:
- Analyze deposition transcript: Turns a deposition transcript into a structured narrative summary with credibility insights and recommended follow-up questions
- Analyze interrogatory responses: Turns interrogatory responses into a clear narrative overview, highlighting key admissions, denials, and gaps
- Summarize complaint: Distills a complaint into key claims and flags notable weaknesses
- Catalog deposition exhibits: Generates an organized table of every exhibit introduced during a deposition, capturing key details at a glance
- Create NDA Playbook: Creates a structured NDA playbook from a firm's own precedents
These aren't generic AI capabilities applied to legal tasks after the fact, but skills built around the specific structure and stakes of litigation workflows.
New Multi-Document Review Templates in Lito Studio
New multi-document review templates built in Lito Studio, the no-code workflow builder, allow lawyers to move through quick, structured reviews of:
- Deposition transcripts
- Asset Purchase Agreements (US, Canada, England, and Wales)
- Share Purchase Agreements (US, Canada, England, and Wales)
- Affidavits
- Consulting Agreements
- Transition Service Agreements
- Export Reports
- Employment Settlement Agreements
For firms evaluating AI contract review templates and NDA playbooks, these templates represent the compounding value of 30 years of legal expertise: built by lawyers, shaped around the workflows that matter, and embedded where lawyers already work.
Why Litera and Not an AI-First Startup?
AI-first entrants look compelling in product demos. They often underdeliver in deployment, particularly on the high-stakes, zero-margin-for-error work where the practice of law actually lives. Generic models and bolted-on wrappers have real limitations. Probabilistic LLMs can't match the deterministic accuracy firms need on high-stakes legal work, and no AI startup can shortcut 30 years of legal-specific engineering.
This release shows the difference in practice. Frontier reasoning and deterministic accuracy on the same platform. Server-class document protection delivered as a hosted service. One place to govern it all. And the redline standards firms have spent years building, finally ready for the cloud.
The real measure of Legal AI isn't whether it makes lawyers faster. It's whether it delivers across all three components of Return on AI (RoAI): Efficiency Growth (time saved on high-volume work), Relationship Growth (the deeper client trust that comes from more accurate, consistent output), and Business Growth (the new and existing matters that open up when lawyers have more capacity for the work that grows a practice). Most platforms address only the first. Litera is built to deliver all three, by unifying the practice and business of law on a single trusted platform.
Unlike platforms built only for efficiency, Litera's compounding intelligence turns daily legal work into the kind of firm intelligence that deepens relationships and surfaces new opportunities.
A strong foundation, not a bold promise, is the right bet.
Frequently Asked Questions
What is in the June 2026 Litera One release?
The June 2026 release delivers five enhancements: comparison profiles and rendering sets for redlines on the cloud platform; Clean+ reaching general availability as Litera-hosted, server-class metadata cleaning; enhancements to the unified Litera One Admin Center; and new capabilities in Lito, including artifact export to Word, Excel, and PDF, new litigation skills, and multi-document review templates.
How do I apply redline rendering sets on Litera's cloud comparison platform?
Administrators can create organization-wide rendering sets and set a firm default. Individual users can create and default their own personal rendering sets. The selected set applies to the redline at comparison time, consistently across one-to-one, one-to-many, and many-to-many comparison and across Word, PDF, and PowerPoint.
What replaced Metadact Server?
Clean+ is the cloud-hosted evolution of Metadact Server. It delivers the same deterministic, rules-based metadata cleaning engine, now as a Litera-hosted service, eliminating the need for firms to provision, patch, or maintain a server of their own.
Can you export Legal AI output to Word and Excel?
Yes. Lito can now export artifacts from its Canvas panel directly to Word, Excel, and PDF in a single step.
How do I use AI to analyze a deposition transcript?
Lito's new deposition transcript skill turns a transcript into a structured narrative summary with credibility insights and recommended follow-up questions. Lawyers upload the transcript to Lito and the skill handles the analysis, embedded natively in the tools lawyers already use, with no new platform or login required.
Does moving to the unified cloud platform mean giving up control or accuracy?
No. This release was built so that moving to the cloud means gaining reach and shedding operational weight while keeping the deterministic accuracy and governance high-stakes work requires. Rendering set control, deterministic metadata cleaning, and unified administration all travel to the cloud with this release.
Why choose Litera over an AI-first or efficiency-only platform?
No AI startup can replicate 30 years of legal expertise. Litera's proprietary redline algorithm is 100% more accurate than general-purpose LLMs on contract comparison tasks. Its rules-based engines deliver deterministic accuracy on the high-stakes work where probabilistic answers carry too much risk. And Litera is the only Legal AI platform built to deliver across all three components of RoAI: efficiency, relationship depth, and business growth.
See Litera's Legal AI Agent and Platform in Action
The firms raising the bar aren't waiting to see what AI can do for legal. They're already running on a platform that unifies the practice and the business of law, with the accuracy, governance, and intelligence to prove it.
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