Full-Time

Manager – Cybersecurity

Litera

Litera

1,001-5,000 employees

Legal workflow software with AI

Compensation Overview

$145k - $175k/yr

+ Incentive Programs

Denver, CO, USA

Hybrid

On-site at least three days/week in Denver, CO; reside within reasonable commuting distance.

Category
IT & Security (1)
Required Skills
Microsoft Azure
Microsoft Intune
AWS

Get referred to Litera

See people who can refer or advise you

Requirements
  • 8+ years of experience in information security, with at least 3 years in a management role leading security operations or SOC teams
  • Deep experience with security operations in cloud environments (Azure and AWS)
  • Hands-on expertise with Microsoft Defender stack (Defender for Endpoint, Defender for Cloud, Sentinel) and cloud security posture management tools
  • Proven track record of building and maturing security operations programs and leading incident response efforts
  • Strong understanding of threat detection methodologies, MITRE ATT&CK framework, and modern attack techniques
  • Demonstrated experience with identity and access management, conditional access policies, and Zero Trust security principles
  • Hands-on experience implementing endpoint hardening, DLP, email security, and phishing simulation programs
  • Experience securing SaaS application infrastructure and familiarity with secure SDLC principles
  • Exceptional communication skills with the ability to convey technical risks to executive and non-technical stakeholders
  • Self-directed and highly motivated with a strong sense of ownership and accountability
Responsibilities
  • Own and drive the global Security Operations program, including 24x7 monitoring, detection, and response capabilities
  • Lead, mentor, and develop a team of security analysts and engineers, fostering a culture of ownership, continuous learning, and operational excellence
  • Set clear goals and expectations, conduct regular performance reviews, and foster a culture of accountability, ownership, and continuous improvement
  • Manage team capacity, workload prioritization, and resource allocation to ensure operational effectiveness
  • Manage and optimize our security tooling stack, including Microsoft Defender suite, SIEM/SOAR platforms, and cloud-native security tools
  • Champion the effective use of AI and automation to enhance team productivity, streamline repetitive tasks, and enable analysts to focus on higher-value work
  • Oversee threat detection, triage, investigation, and response activities across the enterprise
  • Develop and refine incident response playbooks, ensuring rapid and effective response to security events
  • Lead incident response efforts for significant security events, coordinating cross-functional teams and executive communications
  • Manage security operations for our multi-cloud environment (Azure, AWS), including cloud security posture management using tools such as Upwind
  • Partner with Infrastructure and DevOps teams to ensure secure configuration and monitoring of cloud workloads and SaaS application infrastructure
  • Collaborate with development teams to integrate security monitoring into CI/CD pipelines and support secure SDLC practices
  • Lead the hardening of Litera's corporate infrastructure through the development and enforcement of security policies across identity, devices, and data
  • Own and manage conditional access policies and identity management strategies using Microsoft Entra ID, ensuring least-privilege access and strong authentication controls
  • Develop and maintain device configuration and endpoint hardening policies across the corporate fleet using Microsoft Intune
  • Oversee email security initiatives including mail filtering policies via Microsoft Defender for Office 365, anti-phishing controls, and user phishing simulation programs (Attack Simulation Training) to drive security awareness
  • Lead data protection efforts including data classification frameworks and data loss prevention (DLP) policies using Microsoft Purview to safeguard sensitive client and corporate information
  • Partner with IT and HR teams to ensure security policies are practical, enforceable, and aligned with business operations
  • Develop and track key metrics and KPIs to measure security operations effectiveness and communicate risk posture to leadership
  • Leverage AI-powered security tools and capabilities (such as Microsoft Security Copilot) to accelerate threat detection, investigation, and response
  • Identify opportunities to apply AI and automation across security operations to improve efficiency, reduce manual effort, and scale the team's impact
  • Stay current on emerging threats, attack techniques, and security technologies to keep our defenses ahead of adversaries
  • Develop and maintain security operations policies, standards, and procedures aligned with industry frameworks and regulatory requirements
  • Support audit and compliance activities by providing evidence of security controls and operational effectiveness
Desired Qualifications
  • Experience with Upwind or similar cloud-native application protection platforms (CNAPP)
  • Strong experience with Microsoft Entra ID (Azure AD), Intune, Microsoft Purview, and Defender for Office 365 for identity, device, email, and data protection
  • Relevant certifications such as CISSP, CISM, GIAC (GSOM, GCIH, GCIA), or Azure/AWS security certifications
  • Experience in a SaaS or legal technology environment
  • Familiarity with SOC 2, ISO 27001, or similar compliance frameworks

Litera provides a suite of legal software that streamlines drafting, document management, review, and firm-wide intelligence for law firms and corporate legal teams. Its tools include Litera Draft, a single toolbar to create, check, and compare documents, and Firm Intelligence, which analyzes data on clients, matters, and people for strategic planning. The company has grown by acquiring tools like Workshare, DocsCorp, Foundation Software Group, and Kira Systems to offer an integrated platform with AI-enabled contract review and knowledge management. Its goal is to improve efficiency, reduce risk, and support growth across firms of all sizes through end-to-end, AI-enhanced legal workflows.

Company Size

1,001-5,000

Company Stage

Growth Equity (Venture Capital)

Total Funding

$100M

Headquarters

McLeansville, North Carolina

Founded

2001

Get referred to Litera

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Foundation 365 embedded in Microsoft 365 Copilot, Outlook, Teams drives adoption across five Global Top 10 firms.
  • Clean+ cloud AI removes metadata without server infrastructure, targeting 42% of legal market by June 30 2026.
  • Litera Compare integration with Google Workspace enables 100% accurate redline tracking and AI risk analysis directly from Drive.

What critics are saying

  • Microsoft CoPilot native adoption erodes Litera CRM moat with 45–60% probability in 6–12 months causing high impact.
  • Free Lito AI strategy adopted by 70% of customers compresses pricing power triggering margin collapse in 6–12 months.
  • General LLMs reaching 40–70% redline accuracy undermines Litera Compare's 100% claim with 50–70% probability in 12–18 months.

What makes Litera unique

  • Litera unifies the practice and business of law via a single AI agent Lito and shared dataset.
  • Bit 100% accurate redline tracking in Litera Compare outperforms general LLMs dropping to 40–70% accuracy.
  • Foundational 30 years of legal expertise and 30 acquisitions under one platform create unmatched workflow coverage.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Remote Work Options

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
EqualDocs
Jun 28th, 2026
Legal AI fluency goes mainstream: BARBRI Acquires Lega; EU staggers AI Act deadlines.

Legal AI fluency goes mainstream: BARBRI Acquires Lega; EU staggers AI Act deadlines. Meta Description: BARBRI acquires legal AI platform Lega to accelerate AI fluency in legal training; Candle AI partners with Docketwise for inbox case intelligence; Litera launches cloud metadata scrubber Clean+; EU delays high-risk AI Act deadlines to 2027/2028. AI in the bar exam: BARBRI Acquires Lega to test practical AI skills. In a major consolidation of legal training and professional development, BARBRI, a global leader in legal education and bar examination preparation (Bar Prep), announced the acquisition of Lega, an enterprise platform specializing in experiential AI simulations, workshops, and governance labs. With this acquisition, BARBRI is signaling a major shift: practical AI proficiency is transitioning from a theoretical elective to a mandatory tested competency for professional licensing. Christian Lang, the founder and CEO of Lega, has joined BARBRI as the newly created Head of Innovation. Lang will lead the integration of Lega's hands-on simulations directly into BARBRI's core bar preparation programs, CLE (Continuing Legal Education) courses, and enterprise law firm training suites. This means future legal professionals will be tested on their ability to use and govern AI tools as part of passing their licensing exams. For law firms and corporate legal departments, this acquisition means that standardized, structured training programs to get junior attorneys up to speed on legal AI tools will soon become the baseline norm. Candle AI partners with Docketwise to streamline workflows. In a key productivity integration for specialized legal teams, Candle AI announced a partnership with immigration case management platform Docketwise (part of MyCase and AffiniPay's 8am platform). Immigration practices are notoriously email-heavy, requiring continuous coordination with clients and government agencies. By integrating Candle AI's "inbox intelligence" directly with Docketwise, immigration attorneys can now view active matter contexts, client details, and case statuses inside Gmail or Outlook. This eliminates the persistent "toggle tax" of switching between tools, allowing lawyers to generate accurate, context-aware email replies in seconds. Security upgrades: Litera Launches Clean+ Cloud Metadata scrubber. Outbound document security is a persistent vulnerability for small and mid-sized businesses. To address this, Litera announced the launch of Clean+, a cloud-hosted evolution of its Metadact server. Clean+ acts as a security filter that automatically scrubs hidden metadata - such as author history, tracked edits, and deleted comments - from outgoing email attachments. By shifting this capability to the cloud, Clean+ allows businesses to enforce a unified document security policy across desktop Outlook, web apps, and mobile clients without the need to maintain complex on-premises servers. EU staggers the AI Act: high-risk deadlines delayed. The European Union has officially approved a significant update to the implementation timeline of the EU AI Act. Through a newly introduced Digital Omnibus package, the EU has delayed key compliance obligations for "high-risk" AI systems: * Standalone high-risk systems (such as AI used in credit scoring, hiring, or critical services) now have a compliance deadline of December 2, 2027 (pushed back from August 2, 2026). * Embedded high-risk systems (integrated into medical devices, machinery, or toys) have their deadline extended to August 2, 2028. Crucial Caveat for Businesses: The delay does not apply to transparency rules. Requirements to disclose human interaction, detect deepfakes, and apply visible/machine-readable watermarks for AI-generated content still become mandatory on August 2, 2026. Sources. * LawNext: BARBRI Acquires Lega to Boost Experiential AI Training for Lawyers (June 22, 2026) * LawNext: Candle AI and Docketwise Partner to Bring Inbox Context to Immigration Practices (June 18, 2026) * Litera Press: Litera Launches Clean+ Cloud Metadata Protection Engine (June 17, 2026) * EU Compliance Hub: Digital Omnibus Delays High-Risk Obligations under EU AI Act (June 2026)

LexBlog
Apr 9th, 2026
Priyanka Singh promoted to EVP, Operations & CFO at litera, taking on expanded strategic role as litera sees ongoing strong growth.

Priyanka Singh promoted to EVP, Operations & CFO at litera, taking on expanded strategic role as litera sees ongoing strong growth. By litera on April 9, 2026 Promotion recognizes first-year impact and Litera's commitment to operational excellence and scalable growth CHICAGO - Apr. 9, 2026 - Litera, a leading legal AI platform provider that unifies the practice and business of law, announced the promotion of Priyanka Singh to Executive Vice President, Operations & Chief Financial Officer. Since joining Litera one year [...]

The Associated Press
Apr 9th, 2026
Litera promotes Priyanka Singh to EVP, operations & CFO as legal AI platform sees strong growth

Litera, a legal AI platform provider, has promoted Priyanka Singh to Executive Vice President, Operations & Chief Financial Officer. Singh joined Litera as CFO one year ago and has since expanded her responsibilities to oversee support and services, legal and HR functions. During her tenure, Singh has led operational transformation focused on customer service and helped establish seven offices as part of the company's return-to-office initiative. She brings over 20 years of experience in financial strategy and operations, holding CPA and CA certifications. Litera serves over 15,000 global customers and 2.3 million daily users, including 99% of the AmLaw 100. The company combines legal technology with Lito, its AI legal agent, offering solutions spanning drafting, document comparison and contract review.

Business Wire
Mar 9th, 2026
Litera embeds legal research in AI agent Lito as study shows LLMs hit 40% accuracy on complex redlines

Litera has partnered with Midpage to embed legal research capabilities into Lito, its AI legal agent, whilst releasing benchmark research highlighting limitations of general-purpose large language models for legal redlining tasks. The integration brings US case law and statutes from Midpage, trusted by over 200 law firms, directly into Lito's Microsoft 365 environment. Users can query documents against legal sources, check statutory compliance and generate case summaries without leaving Word or Outlook. Litera's internal research compared its purpose-built Compare tool against leading LLMs including Gemini 3, Claude Opus 4.5 and ChatGPT 5.2. Findings showed general LLMs struggled with non-text elements and accuracy declined significantly in longer documents, dropping to approximately 40-70% in 200-page tests. The company emphasised that whilst LLMs excel at research assistance, producing defensible legal redlines requires purpose-built technology.

Digital IT News
Mar 9th, 2026
Litera Embeds Legal Research in Lito Through Midpage Partnership

Litera embeds legal research in Lito through Midpage partnership. Litera announced a new integration with Midpage to bring U.S. case law and statutes directly into Lito. The integration makes Lito the first legal AI assistant to combine generative AI capabilities, deterministic rules-based engines, proprietary firm intelligence, and Midpage's legal research tools within the microsoft 365 environment, where lawyers already work. Alongside the announcement, Litera is also presenting new internal benchmark research at Legalweek comparing how general-purpose large language models perform on complex legal redlining tasks versus purpose-built legal comparison technology. "Every legal AI tool has access to the same foundation models," said Adam Ryan, Chief Product Officer at Litera. "The difference is what surrounds them. Lito combines the best large language models with our rules-based engines, cutting edge firm intelligence data, and now deep legal research - all integrated where lawyers already work." The Midpage integration will deliver U.S. statutes and case law to Lito, adding to this powerful legal drafting environment and further expanding Litera's ecosystem of more than 60 integrations, including NetDocuments, iManage, Courtroom Insight, and UniCourt. By embedding trusted legal research sources within Lito, Litera continues to deepen the intelligence available directly inside everyday workflows. Through the Lito chat experience, users can select U.S. statutes or case law as sources to query against a document or a specific legal question. Practical use cases include checking whether an agreement complies with a particular statute, uploading a document alongside relevant legal authority for contextual analysis, or generating a case summary to share with clients - all without leaving Word or Outlook. Lito users on Litera One cloud packages will have access to legal research capabilities through this integration, with options to expand usage through a Midpage subscription. "Navigating case law has historically been so complex that it was really only done for complex litigation," said Otto von Zastrow, CEO of Midpage. "AI agents give every attorney the power of a big legal research team. The agent reads hundreds of cases and finds on-point precedents with quotes and hyperlinks. We're glad to bring this to tools like Lito that already have access to your documents and important context." Internal Research Examines AI Performance in Legal Redlining Alongside this announcement, Litera is sharing findings from internal Quality Engineering research evaluating how different AI approaches perform on complex legal redlining tasks, data that underscores why the architecture behind a legal AI tool matters as much as its capabilities. The research compared Litera Compare with leading general-purpose large language models, including Gemini 3, Claude Opus 4.5, and ChatGPT 5.2, across long-form legal documents containing tables, images, embedded objects, headers and footers, and other structural elements. The results illustrate a clear distinction: while large language models excel at research and drafting assistance, generating structured, defensible legal artifacts requires technology purpose-built for legal formatting standards and professional exchange. Key findings include: * Structural limitations: General-purpose LLMs were unable to generate usable redlines for non-text elements such as tables, images, embedded objects, headers/footers, and footnotes. * Accuracy declines with length: Even in short documents, general LLMs topped out at roughly 90% accuracy - a threshold that remains too low for legal work where a single missed change can carry significant consequence. In a 200-page document test, one model's text accuracy dropped to roughly 40%, with others declining to approximately 70%. * Description vs. redline: General-purpose LLMs can describe what changed in a document but cannot produce an actual redline or track changes file suitable for exchange with counterparties. Describing a change and delivering the legal artifact that lawyers need are fundamentally different outcomes. * Completeness over speed: While some models processed comparisons quickly, output reliability and coverage varied significantly across longer, more complex documents. Litera Compare powers redlining capabilities within Lito, enabling lawyers to produce accurate, industry-standard outputs while remaining embedded in their drafting environment. Together, the Midpage integration and Compare capabilities reflect Litera's broader approach: combining the intelligence of large language models with the precision of purpose-built legal engines, so lawyers get the best of both where it matters most. Litera will discuss both the Midpage integration and the research findings at Legalweek, March 9-12, 2026, in New York, NY, as part of broader conversations about how legal AI is evolving beyond experimentation toward measurable, reliable performance. Meet with Litera at Legalweek: Avaneesh Marwaha, CEO of Litera, will outline his vision "Accurate. Embedded. Fast. Raising the Bar for Legal Performance," Wednesday, March 11, 9:00 - 10:00 a.m., 4th Floor, Room 405.1 To learn more about how AI is transforming legal research and legal performance, reserve your spot for Litera's session at Legalweek here.