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Litify

SaaS platform for legal case management

Overview

Litify provides a legal operating system and case management software designed for law firms, corporate legal departments, and government agencies. It is a SaaS platform that consolidates multiple legal processes into one system, allowing teams to collaborate, access real-time information, automate routine tasks, and analyze data to improve performance. The product works by offering a flexible, secure, cloud-based platform that clients subscribe to, with optional configurations, data migration services, and training to tailor it to their needs. Litify sets itself apart by delivering an end-to-end, industry-focused platform that integrates workflow automation, analytics, and collaboration in one place, along with a strong emphasis on customer success and ongoing support. The company's goal is to help legal teams operate more efficiently, reduce costs, and make informed decisions through digital transformation of their processes.

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About Litify

Simplify's Rating
Why Litify is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareLegal

Company Size

51-200

Company Stage

Series A

Total Funding

$58.7M

Headquarters

New York City, New York

Founded

2016

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What believers are saying

  • May 2026 Time Capture targets up to 30% lost billable work.
  • Instant Demands and ACE automate pre-litigation work, cutting 20-50% of manual effort.
  • Litify stayed profitable, won Bessemer backing, and ranked on Inc. 5000 in 2026.

What critics are saying

  • Clio, MyCase, and Filevine outscore Litify on reviews and price sensitivity in 2026.
  • Salesforce dependence raises implementation friction, longer onboarding, and switching costs for smaller firms.
  • Docrio outages and document-merge failures expose reliability risk during critical filing workflows.

What makes Litify unique

  • Built on Salesforce, Litify unifies intake, matters, billing, and analytics at enterprise scale.
  • Litify serves 55,000+ legal professionals and 450+ enterprise clients across multiple practice areas.
  • Its agentic AI stack links document intake, damages, policies, and demand generation workflows.

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Funding

Total Funding

$58.7M

Above

Industry Average

Funded Over

3 Rounds

Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
$15M
$30M
$50M

Benefits

  • Performance Bonus

Growth & Insights and Company News

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
Arkis AI
Nov 1st, 2026
AI consulting cost for law firms: real numbers (2026).

AI consulting cost for law firms: real numbers (2026). November 1, 2026 · ArkisAI Four proposals. Four different numbers. Not one of them explained what was actually going to ship. AI consulting cost for a mid-size law firm in 2026 ranges from a $5,000 fixed-fee audit to a $350,000-per-year enterprise platform contract - and what sits between those numbers matters far more than either endpoint. Here is an honest breakdown of what AI consulting cost looks like across every pricing model - hourly rates, fixed-fee audits, agent builds, and monthly retainers - real numbers anchored to outcomes, not slide decks. The four AI consulting cost models law firms encounter in 2026. 1. Hourly rates: $150-$500/hr. Independent AI consultants in the legal sector charge between $150 and $350 per hour for strategy and tool selection. Consultants who can deploy AI inside a compliance perimeter - self-hosted inference, audit logs, PII redaction upstream of every inference call - command $350-$500/hr. That premium is justified: a misconfigured deployment that exposes privileged client data to a third-party model training pipeline is not a billing dispute; it is a bar complaint. The structural problem with hourly billing is that it rewards scope expansion. Last month a managing partner at a 60-lawyer firm told Arkis AI he had spent $22,000 over four months on an hourly AI consultant hired to "assess AI readiness." The firm received a 40-page document. Nothing shipped - not a single agent ran against a single matter. Budget 20-40% on top of any quoted hourly fee to cover integration, staff onboarding, and the scope creep that open-ended engagements structurally reward. 2. Fixed-Fee AI consulting cost: $5,000-$25,000 per engagement. Fixed-scope projects change the incentive structure entirely. The consultant is paid to finish, not to extend. For a 40-100 lawyer firm, the relevant range is $5,000-$25,000 per engagement. * $5,000 AI Audit (2 weeks): A ranked inventory of the firm's 20 most time-consuming workflows, scored on AI potential and billable hour recovery. Managing partners routinely recover this AI consulting cost from the first quick-win identified - typically an agent that saves a paralegal 15 or more hours per week. * $10,000-$25,000 Custom Agent Build (4-8 weeks): A single purpose-built agent - contract review, M&A due diligence summariser, client intake bot, billing narrative drafter - integrated with the firm's existing stack. ArkisAI integrates natively with iManage, NetDocuments, Clio, Litify, and MyCase. Adding an or NetDocuments layer typically adds $3,500-$5,000 to a build, covering document-level access controls and matter-scoped retrieval. Here is what the vendor brochures will not tell you: Harvey AI enterprise contracts run $50,000-$300,000 annually with 25-seat minimums, before any implementation work. CoCounsel All Access runs approximately $500 per user per month. Spellbook lands between $89-$300 per user per month. A custom agent built for your firm's specific matter types and privilege controls is a different category entirely - and a different AI consulting cost structure. 3. Monthly retainers: $1,500-$8,000/month. Once agents are deployed, firms need someone to maintain them. Foundation models update on irregular schedules. Workflows shift when a practice group pivots to a new matter type. Prompt libraries need tuning as partner feedback accumulates. The retainer market for legal AI consulting runs $1,500-$8,000 per month depending on agent count and scope. At $3,000-$8,000 per month - ArkisAI's operating range - a managing partner or COO gets continuous optimisation, model upgrades, new agent requests, partner-level training, and security reviews on a rolling basis. That is a fractional Legal AI team at roughly 1-2% of what a fully-loaded in-house AI engineer costs annually in the UK or US market. 4. Enterprise platforms: $50,000-$350,000+/year. Large firm deployments of Harvey, CoCounsel, or Lexis+ AI carry the price tags above plus implementation fees, change management costs, and multi-year commitments. For a mid-size law firm with 20-150 lawyers, this tier rarely delivers proportionate ROI. The AI consulting cost per recovered billable hour is significantly higher than a purpose-built agent matched to the firm's actual workflow mix. What AI consulting cost looks like as a budget line for a mid-size law firm. A 40-80 lawyer firm entering its first AI engagement in 2026 should plan in three stages. A $5,000 audit establishes the priority workflow list and the ROI case for partners. A $10,000-$25,000 first agent build - typically or an AI contract review workflow - produces a measurable outcome: hours saved, matter-turn time reduced, associate leverage ratio improved. A $3,000-$8,000 per month retainer then keeps the deployed agents current and adds new ones as the roadmap matures. Total first-year AI consulting cost for this path: $51,000-$121,000. For a firm billing $5M-$15M annually, that is 1-2% of revenue - a fraction of what a single lateral hire costs, and with a direct line to billable hour recovery rather than a speculative headcount bet. California's 2026 AI billing guidance confirmed the underlying economics: if AI compresses a 4-hour research task to 45 minutes, the firm bills 45 minutes. The smarter move is using that compression to redeploy partners into origination and client relationship work - the hours that actually grow the firm - rather than treating AI as a cost-cutting exercise that competes with associates. The AI is ready. The workflows exist. The guardrails are buildable. What most firms are still waiting for is someone to put a real number on it - and be accountable for what ships. Frequently asked questions. How much does it cost to build a custom AI agent for a law firm? A single purpose-built agent typically costs $10,000-$25,000 for a mid-size firm, including integration with iManage, NetDocuments, or Clio. Multi-agent platforms for larger firms run $150,000-$350,000. The $10,000-$25,000 range is the relevant AI consulting cost bracket for a 20-100 lawyer practice doing its first custom deployment. That figure covers scoping, build, DMS integration, and partner-level onboarding - not just a prototype that requires internal engineering to productionise. Is a fixed-fee AI audit better than an open-ended hourly engagement? For most mid-size law firms, yes. An open-ended hourly engagement structurally rewards scope expansion - the consultant has no financial incentive to compress the timeline or ship a working agent faster. A fixed-fee audit delivers a defined deliverable at a predictable AI consulting cost, with no exposure to billing drift. The $5,000 audit model exists precisely because managing partners and COOs need to make an ROI case to the equity partnership before committing to a full build. What is the difference between Harvey AI and a custom-built legal AI agent? Harvey is a vendor product - powerful at general legal reasoning, but generic by design. It does not know your firm's precedent library, matter-type conventions, privilege structures, or partner preferences. Custom agents built by ArkisAI are fitted to your specific workflows and integrated directly with your DMS (iManage, NetDocuments) and PMS (Clio, Litify, MyCase). Harvey enterprise starts at $50,000-$300,000 per year with seat minimums; a custom agent at $10,000-$25,000 is a categorically different AI consulting cost model with a different ROI profile. What does M&A due diligence AI actually cost to deploy? A purpose-built M&A due diligence AI agent - one that ingests a data room, flags issues by clause type, and produces citation-traceable risk summaries integrated into iManage or a virtual data room for law firms - typically falls in the $15,000-$25,000 build range for a mid-size firm. Partners at firms using this workflow report reducing diligence review time from 14 days to under 4, which changes the economics of competitive pitching on accelerated timelines. Is it safe to use AI on privileged client documents? It can be - but the safeguards must be deliberate, not assumed. ABA Formal Opinion 512 (2024) requires informed client consent before feeding confidential data into a self-learning AI tool. Every AI deployment ArkisAI builds uses zero data retention, zero third-party model training, and PII redaction upstream of every inference call. Confidentiality-first architecture is not a selling point - it is the baseline requirement for any deployment that touches client matters. Want to see what AI could quietly take off your associates' plates without creating a confidentiality risk? Book a confidential consultation - partner-level audit, fixed-price engagements, NDA on request.

Associated Press
Oct 20th, 2026
Litify launches AI call intelligence built into its case management platform

Litify, a legal case management platform, has launched LitifyAI Call Intelligence, an AI client intake tool built into its platform. It lets law firms capture and qualify prospective clients without a separate AI intake vendor. Through Call Companion, intake specialists get real-time caller identification, speaker-separated transcription, and intake playbooks tailored to case types. The tool works with more than 20 telephony providers, including Dialpad, Zoom, and Five9. It prefills intake questionnaires with answers linked to transcript quotes and audio, which staff review before saving. Firms can also set lead scoring criteria in natural language. "With Call Intelligence, we've given intake teams an AI companion that handles everything except the human connection," said Lauren Rothrock, chief product officer at Litify. The tool is available now to Litify customers.

Yahoo Finance
Oct 20th, 2026
Litify launches ai-powered Call Intelligence natively within its case management platform.

Litify launches ai-powered Call Intelligence natively within its case management platform. From answered calls to missed calls and voicemails, LitifyAI Call Intelligence captures and qualifies every potential lead within the firm's existing platform, connecting intake data to agentic workflows that help move cases forward. NEW YORK, October 20, 2026-(BUSINESS WIRE)-Litify, the leading AI-native Platform of Action for law firms and legal departments, today announced the launch of LitifyAI Call Intelligence, a new AI-powered client intake solution built directly into its case management platform, allowing firms to capture and qualify prospective clients without adding a separate AI intake vendor. Integrated with Litify Agentic Case Expert (ACE), Call Intelligence turns intake conversations into verified, actionable case data, combining real-time call assistance, citation-backed lead qualification and follow-up workflows within the platform firms already use to manage their cases. Though the intake process is a critical first step in case acquisition, moving a prospective client from initial inquiry to onboarding isn't always straightforward. Instead of moving closer to signing a retainer, prospective clients are often left repeating information, receiving conflicting outreach, and potentially taking their case to a competing firm. For firms relying on standalone AI tools, the tradeoff is clear: gaining modern AI capabilities can mean introducing another disconnected system into their case management workflows. Through Call Companion, the live call experience embedded in Litify's native AI suite, intake specialists receive real-time caller identification and contextual information, along with speaker-separated transcription and dynamic intake playbooks tailored to different case types. Call Companion guides specialists through relevant questions and firm-defined procedures, helping teams capture critical information consistently while remaining focused on the caller. Rather than replacing intake specialists, Call Intelligence supports them during the conversations where a firm's most valuable cases can be won or lost. It also integrates with more than 20 telephony providers, including Dialpad, CallRail, Five9, Zoom, and Intermedia Elevate, allowing firms to retain their existing phone systems while capturing inbound, outbound, and voicemail interactions, including calls handled outside the live Call Companion experience. Beyond transcription, Call Intelligence prefills intake questionnaires with suggested answers supported by citations to the original conversation. Each suggestion links directly to the corresponding transcript quote and timestamped audio, allowing specialists to verify information before accepting it. Staff retain control over what enters the case record, reviewing suggested responses before using the one-click "Save to Litify" action to commit accepted answers, call records, and transcripts together. This approach helps firms maintain accurate, verifiable intake records rather than relying on unsourced AI summaries.

Eclipse Networks
Aug 25th, 2026
AI readiness for law firms: getting your systems ready for Harvey, CoCounsel, and beyond.

AI readiness for law firms: getting your systems ready for Harvey, CoCounsel, and beyond. Legal AI is now a competitive advantage for law firms. Harvey is now used by more than 100,000 lawyers across 1,300-plus organizations. CoCounsel, Thomson Reuters' assistant, is wired directly into Westlaw and Practical Law. Platforms like Litify, Clio, and RingCentral are layering AI into the systems firms already run every day. But here's what the vendors won't tell you in the demo: AI readiness for law firms has almost nothing to do with which tool you buy. It has everything to do with whether the systems underneath it are clean, connected, and secure enough to trust an AI on top of them. The best legal AI pointed at messy data, disconnected systems, and loose security will only multiply your problems faster. Before your firm signs up for any of these platforms, the foundation is what determines whether you get value or a very expensive disappointment. Popular legal tech platforms today. Look at what some of the law firms Eclipse Networks, Inc. work with depend on: Harvey and CoCounsel generate research, summaries, and first drafts - but their output is only as good as the documents and matter data you feed them. Garbage in, confident-sounding garbage out. Litify runs on Salesforce and unifies matter management, intake, billing, and documents into one system, with AI built in. Its value comes entirely from having your data structured and centralized in the first place - Litify's platform is built on Salesforce, AWS, and Anthropic infrastructure. Clio brings AI into practice management through Clio Duo, but it can only reason over the matters, contacts, and time entries you've actually kept organized in it. RingCentral adds an AI layer (RingSense) that transcribes and analyzes client calls and can even route inbound calls automatically. It's a powerful system, but only if it integrates cleanly with your case management system for tracking messages and notes. RingCentral integrates with Clio, Litify, and other legal platforms. Every one of these tools assumes something about your firm: that your data is organized, your systems talk to each other, and your security can withstand pointing an AI at privileged client information. How to avoid stalling on AI projects. Readiness isn't a mindset. It's four concrete conditions, and you can check your firm against each one: * Clean, structured data. AI is a reflection of what you give it. If your matters live half in a case management system, half in email, and half in a shared drive named "Documents_FINAL_v3," an AI tool will surface the wrong version, miss context, and produce answers you can't rely on. Getting your matter data consolidated and consistent is the unglamorous work that makes every AI feature above actually perform. * Systems that connect. The real payoff comes when your phone system, case management, document storage, and research tools share information instead of sitting in silos. That requires deliberate integration and, often, a cloud foundation built to support it. Sorting out which systems you need and how they fit together is exactly the kind of planning a virtual CTO exists to do - mapping your tools to your workflow before you spend on licenses. * Security that can hold privileged data. This is the one that should keep managing partners up at night. Feeding client information into an AI tool raises immediate questions of confidentiality, privilege, and your ethical duty to protect client data. That means enforced multi-factor authentication, controlled access, clear data-handling rules, and knowing exactly where client information goes when a tool processes it. AI readiness and strong cybersecurity and data protection are the same project - you cannot responsibly do the first without the second. * A modern cloud backbone. Most of these platforms are cloud-native and expect you to be too. A firm still anchored to an aging on-premise server and a patchwork of local files will fight the tooling at every step. A properly configured Microsoft 365 and cloud environment gives AI tools the secure, accessible data layer they're designed to work with. Establishing the right technology foundation. The firms getting real value from legal AI started by getting their house in order. They consolidated data, integrated systems, tightened security, and then layered AI tools on top. The firms struggling started with a subscription and discovered the hard way that AI can't fix a broken foundation. You don't need an in-house IT department to get there. Many firms handle this through a co-managed or outsourced IT partnership. Schedule an AI readiness assessment. Before your firm commits to Harvey, CoCounsel, Litify, Clio, RingCentral, or anything else, run a simple AI-readiness check: Is its matter data clean and centralized? Do its core systems actually connect? Can its security stand up to privileged data flowing through an AI? Are Eclipse Networks, Inc. operating in a modern cloud environment? If the answer to any of those is no, that's where the real work is. Eclipse Networks helps law firms build that foundation, from organizing and securing data, integrating case management and communications, to standing up the cloud and security environment that legal AI depends on. If you're weighing an AI platform and want to know whether your systems are actually ready for it, schedule a consultation and Eclipse Networks, Inc.'ll help you build the base before you buy the tool.

Litify
Aug 11th, 2026
Litify recognized on the 2026 Inc. 5000 list for the third year in a row.

Litify recognized on the 2026 Inc. 5000 list for the third year in a row. The company lands in the top half of America's fastest-growing private companies as it continues to scale during a transformational period for the legal industry. NEW YORK, NY - August 11, 2026 - Inc. revealed today that Litify, the leading AI-native platform of action for law firms and legal departments, ranked on its 2026 Inc. 5000 list, the annual ranking of the fastest-growing private companies in America. This marks Litify's third consecutive year on the Inc. 5000, recognizing the company's sustained growth as it continues to help legal organizations move from manual work to AI-native processes where agents work alongside legal professionals to take action, surface insights, and drive better case and business outcomes. "The past three years have fundamentally changed what's possible for legal technology, and being recognized by Inc. for the third consecutive year is a testament to the dedication and drive of our incredible team and customers," said Lorrie Ong, SVP, People at Litify. "Throughout this transformation, our focus remains on empowering our people to deliver continued innovation that supports legal professionals, strengthens client relationships, and preserves the human touch at the heart of this profession. We're honored to receive this recognition from Inc., and are even more excited about what lies ahead for our clients and the legal industry." Litify was additionally honored as the 187th fastest-growing private software company nationally and the 180th fastest-growing private company in the state of New York. "Every company on the Inc. 5000 has a story of perseverance, smart decision making, and a refusal to sit still," says Mike Hofman, editor-in-chief of Inc. "Their growth reflects more than strong financial performance - it reflects creativity, resilience, and the customer focus required to build companies that make a lasting impact. We congratulate all honorees on this significant achievement." For Litify, this recognition comes during one of the legal industry's most significant technology inflection points. As legal AI rapidly reshapes expectations across the profession, the company has remained focused on helping legal organizations adopt new capabilities responsibly, delivering measurable value while maintaining the trust, transparency, and oversight that legal work demands. Over the past year, Litify has continued advancing its Platform of Action, evolving beyond traditional systems of record by embedding AI directly into the platform and workflows legal professionals use every day. Recent innovations include the launch of Litify ACE, the company's Agentic Case Expert, an agentic layer that operates across the platform to keep cases moving forward without adding more tools, headcount, or administrative work, and LitifyAI Instant Demands, which automates the preparation of personal injury demand packages while keeping humans in control of the process. Together, these capabilities reflect Litify's broader approach to agentic solutions that generate and orchestrate work autonomously in the background and reinforce the company's position as the AI-native Platform of Action that helps legal organizations turn insight into execution and move work forward with greater speed, visibility, and intelligence. Recipients were ranked based on their percentage of revenue growth from 2022 to 2025. Notable companies, including Microsoft, Meta, and Oracle, have all been previously recognized on the Inc. 5000 list. The list of all 5,000 honorees, including company profiles, can be found at www.inc.com/inc5000/2026. More about Inc. and the Inc. 5000 Methodology Companies on the 2026 Inc. 5000 are ranked according to percentage revenue growth from 2022 to 2025. To qualify, companies must have been founded and generating revenue by March 31, 2022. They must be U.S.-based, privately held, for-profit, and independent - not subsidiaries or divisions of other companies - as of December 31, 2025. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2022 is $100,000; the minimum for 2025 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. About Inc. Inc. is the leading media brand and playbook for the entrepreneurs and business leaders shaping its future. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. About Litify Unleash your team's full potential. Litify is powering a new era for the legal industry. Since its inception in 2016, Litify has helped law firms and corporate legal departments turn operations into impact through its leading AI-native platform of action. With over 55K legal professionals and 450+ enterprise clients across plaintiff, insurance defense, immigration, and the Fortune 500 - the industry-leading solution combines trusted cloud-based technology, configurable and AI-native workflows, and powerful business analytics. Additional capabilities include matter and intake management, document generation, timekeeping and billing, legal hold and corporate eBilling, mobile, and more. By integrating next-generation AI actions and insights across the platform, Litify offers a future-ready solution that enhances strategic decision-making, increases client satisfaction, and enables every teammate to operate at their full potential. Get more with an enterprise platform. Start getting better business outcomes for your team and better legal outcomes for your clients with the most powerful platform for legal.

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