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Average price: 37 products listed
37 Listings in Legal AI Available
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What is Harvey? Harvey is an AI platform built for legal and professional services firms. It provides legal research, drafting, bulk document analysis and agent workflows, and says it serves 3,000+ legal organizations in 70+ countries. Key capabilities of Harvey Knowledge: Research legal and regulatory questions. Vault: Secure document storage with bulk analysis. Contract Intelligence: Accelerate contract review and negotiation. Agents: Orchestrate complex legal tasks with automatic routing. Spaces: Secure collaboration across firms and teams. How Harvey works Lawyers work in Harvey or in familiar tools such as Word, uploading documents to Vault, asking research questions and running agents for tasks like due diligence or contract review. Outputs are drafts for attorney review. The vendor states it supports SAML SSO, audit logs and IP allow-listing. Who uses Harvey? Law firms, in-house legal departments and professional services firms use it for litigation, transactional work and compliance. Harvey says 200,000+ professionals and 80+ AmLaw 100 firms use the platform. Harvey pricing Harvey does not publish prices. Access is through an enterprise sales process, and users must request a demo for a quote. Harvey alternatives Lexis+ AI integrates generative AI with LexisNexis content, Robin AI focuses on contract review, and Spellbook drafts contracts inside Word. Harvey is positioned as a broad platform for large firms.
Deployment
What is Luminance? Luminance is an enterprise contract intelligence platform that turns contract language into insight. It covers negotiation, discovery and automation, and serves more than 1,000 enterprises globally. Key capabilities of Luminance Negotiation: brings precedent and playbooks into contract reviews Discovery: turns contract portfolios into risk and obligation insight Automation: manages workflows from intake to signature Contract Q&A: 1.3M+ contract questions answered Opportunity flagging: 174M+ contracts flagged Stakeholder coordination: workflow across departments How Luminance works Luminance reads contracts and compares them against precedent and playbooks, flagging deviations during negotiation. The discovery module analyzes whole portfolios for risk, obligations and opportunities, while automation routes contracts from intake through signature. Third-party descriptions mention routine NDA negotiation with human review of results. Who uses Luminance? Legal, procurement, finance, sales, HR, executive and compliance teams use it, averaging more than 5,000 users per company, per the vendor. Luminance says its work reduces repetitive review by 75%. It was founded by University of Cambridge researchers. Luminance pricing Luminance does not publish prices. Third-party estimates for annual contracts run from tens of thousands of dollars for mid-market deployments to higher for enterprise rollouts, depending on users, volume and modules. These are not vendor prices. Luminance alternatives Alternatives include LegalOn for contract review with attorney-built playbooks, DraftWise for transactional drafting, Genie AI for contract drafting, Lawhive for consumer legal services, and Harvey for general legal AI.
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What is DeepIP? DeepIP is an AI-powered platform for patent professionals that supports drafting, prosecution and portfolio work, delivered primarily as a Microsoft Word add-in. Key capabilities of DeepIP Patent drafting: Generates full applications from invention disclosures. Office action responses: Analyzes rejections and drafts structured responses with case law citations. Prior art search: Semantic search across 120M+ patents. Patentability assessment: Evaluates novelty and non-obviousness before filing. FTO and invalidity analysis: Maps claims against technology to find infringement risk. How DeepIP works Attorneys work in Microsoft Word, where DeepIP drafts and reviews text using models built for patent work and aligned with USPTO, EPO and other office requirements. Outlook handles deadline management, and a REST API and docketing integrations connect it to other systems. The vendor states it is deployed on Microsoft Azure with end-to-end encryption and does not retain client data for model training. Who uses DeepIP? Law firms and in-house patent teams. The vendor reports 500+ customers including Philips, Greenberg Traurig, Morgan Lewis, Signify and DexCom, 25,000+ applications drafted and $40M raised in total. DeepIP pricing No prices are published. A free trial is available per the vendor site, and other terms are arranged with the vendor. DeepIP alternatives Callidus AI and Marveri are other legal AI products, and Luminance and Ironclad focus on contracts. DeepIP specializes in patents.
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Saaskart Market Grid™
Explore how leading Legal AI solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Legal AI ecosystem.
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LawDroid
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Legal AI applies large language models to legal work, contract review and drafting, research, document analysis, and e-discovery, helping lawyers and legal teams work faster while keeping accuracy and confidentiality paramount. This guide explains what legal AI is, how it works, what matters, and how to choose one.
Legal AI applies large language models to legal work, contract review and drafting, research, document analysis, and e-discovery, helping lawyers and legal teams work faster while keeping accuracy and confidentiality paramount. This guide explains what legal AI is, how it works, what matters, and how to choose one.
Legal AI uses LLMs and specialized models to assist legal tasks: reviewing and drafting contracts, extracting and analyzing clauses, conducting legal research, summarizing documents, and accelerating e-discovery and due diligence.
Tech stacks
See where legal ai fits in a complete stack, with the other software, AI agents and services each business needs.
What is Norm Ai? Norm Ai is a regulatory compliance agents AI agent offering AI agents that turn regulations and policies into automated compliance reviews. Founded in 2023 and based in New York, New York, USA, Norm Ai helps financial services compliance teams automate regulatory compliance agents work and get results faster. Key capabilities of Norm Ai Regulatory agents Marketing and communications review Policy mapping Audit evidence Explainable alerts Audit-ready case notes How Norm Ai works Norm Ai takes documents and text as input and produces decisions and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Core banking systems, Salesforce, Snowflake and REST APIs, so the agent works inside existing workflows. Who uses Norm Ai? Norm Ai is built for financial services compliance teams. It suits teams that want regulatory agents and marketing and communications review without adding headcount, while keeping people in control of review and final decisions. Norm Ai vs Greenlite Norm Ai is often compared with Greenlite. Norm Ai stands out for regulatory agents and policy mapping. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Wordsmith AI? Wordsmith AI is an AI platform for in-house legal teams that handles the legal request lifecycle from intake to documentation. It captures requests from across the business, drafts and reviews documents against team playbooks, and keeps an audit trail. Key capabilities of Wordsmith AI Request intake: Captures legal requests from Slack, email and other channels Automatic routing: Triage by priority, complexity and jurisdiction Contract review: Automates review and redline generation Playbook drafting: Drafts documents and analysis against team playbooks Context retrieval: Pulls information from multiple business systems Audit trail: Records outcomes for every matter Routine matter handling: Learns team decisions to resolve routine requests How Wordsmith AI works Wordsmith follows four steps: receive, route, resolve and record. A request arrives in Slack or email, is triaged, then drafted or analyzed against the team playbook using context from connected systems. The vendor says it learns how the team decides so routine matters need no lawyer, and outcomes are logged. Who uses Wordsmith AI? In-house legal departments. Customers shown include Trustpilot, Canva, Deliveroo and Skyscanner, and Trustpilot reports an 85% reduction in contract review time. Wordsmith AI pricing Wordsmith does not publish pricing. Legal teams request a quote from the vendor. Wordsmith AI alternatives Alternatives include Ivo for contract review, Harvey for broad legal AI and CoCounsel for legal research and drafting. Wordsmith centers on in-house request intake and routing.
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What is Solve Intelligence? Solve Intelligence is an AI platform for patent professionals covering drafting, prosecution, litigation and portfolio management across technology areas. It is backed by Thomson Reuters, Microsoft and Y Combinator. Key capabilities of Solve Intelligence Patent drafting: Application generation and figure creation Sequence analysis: Chemical and biological sequence analysis Office action responses: Analysis and drafted responses Invalidity charts: Litigation claim charting Freedom to operate: FTO reviews and infringement detection Portfolio analytics: Analysis across a patent portfolio How Solve Intelligence works Attorneys upload an invention disclosure or office action and the platform drafts text, figures or responses that the attorney edits and files. Coverage spans mechanical, electrical, life sciences, telecom, software, medical devices and design patents. Who uses Solve Intelligence? Over 700 organizations including Intel, Nielsen, Avery Dennison, 10x Genomics, DLA Piper, Finnegan, Quinn Emanuel and Wolf Greenfield. Solve Intelligence pricing Solve Intelligence does not publish prices. Quotes are provided on request. Solve Intelligence alternatives Alternatives include Patlytics for patent analytics, Genie AI for legal drafting and Della for contract analysis. Solve is focused on patents.
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What is AI Lawyer? AI Lawyer is a consumer legal AI AI agent offering an AI legal assistant that answers legal questions and drafts documents in plain language. AI Lawyer helps consumers and small businesses automate consumer legal AI work and get results faster. Key capabilities of AI Lawyer Legal Q&A Document drafting Contract review Multi-jurisdiction guidance Plain-language answers How AI Lawyer works AI Lawyer takes text and documents as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Web browsers, iOS, Android and Email, so the agent works inside existing workflows. Who uses AI Lawyer? AI Lawyer is built for consumers and small businesses. It suits teams that want legal Q&A and document drafting without adding headcount, while keeping people in control of review and final decisions. AI Lawyer vs Rocket Lawyer AI Lawyer is often compared with Rocket Lawyer. AI Lawyer stands out for legal Q&A and contract review. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Noxtua? Noxtua is Europe's legal AI platform for legal professionals and businesses, built on secure European infrastructure with curated content from leading European legal publishers. The vendor says it spans 210M+ searchable documents and 15.8M+ court decisions. Key capabilities of Noxtua Word Add-in: AI document editing and research inside Word. Outlook Add-in: Legal AI inside email. Legal Research: Search across European legal sources. Matrix Analysis: Structures documents for review. Editor: Document creation and export. Workflows: Task automation with prompts. Projects: Workspace organization. How Noxtua works Noxtua offers two tiers. Athena Agent uses open-source models on sovereign European infrastructure, and Minerva Agent provides frontier closed-source models under heightened security standards, both deployed in Europe. Lawyers research, draft and analyze documents through the add-ins or the web workspace. Who uses Noxtua? Legal professionals and businesses in Europe. The vendor names C.H. BECK and MANZ as legal publisher partners. It states GDPR compliance, respect for professional secrecy and operation in certified European data centers. Noxtua pricing Noxtua does not publish pricing in the content reviewed. Contact the vendor for a quote. Noxtua alternatives Ivo and Wordsmith AI assist contract work, LawGeex reviews contracts and Patlytics focuses on patents. Noxtua centers on European legal sources and sovereign hosting.
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What is LegalOn? LegalOn is an AI-powered contracting platform for in-house legal teams and law firms that reviews contracts, suggests redlines and manages matters. It bundles an AI Assistant, Review, Playbooks, Matter Management, Vault, Translation and entity and board management. Key capabilities of LegalOn AI contract review and redlining: analyzes contracts and proposes redlines inside Microsoft Word Attorney-built playbooks: 135+ contract standards across industries AI Assistant: answers legal questions and drafts language Vault: stores contracts with searchable business intelligence Matter management: handles intake, triage and workflow tracking Translation: supports multilingual contract review How LegalOn works A lawyer opens a contract in Word, selects a playbook that encodes the organization's standards, and the AI flags deviations and proposes redlines for the lawyer to accept or change. Matter Management routes incoming requests, Vault holds signed agreements for search, and the Assistant answers questions. The vendor states that nothing shared with LegalOn trains a third-party model. Who uses LegalOn? In-house legal departments, law firms and specialized legal teams use it. The vendor cites a 75% reduction in contract review time and the ability to handle 50% more contracts without extra staff, which are vendor-reported results. LegalOn pricing LegalOn does not publish pricing. It sells by quote, and plans are scoped to modules and team size. Request a demo from the vendor to get figures for your contract volume and the playbooks you need. LegalOn alternatives Alternatives include Genie AI for contract drafting and review, Lexis+ AI for legal research and drafting, Clearbrief for litigation drafting support, and EvenUp for personal injury demand packages.
Deployment
What is DeepJudge? DeepJudge is a legal knowledge search AI agent offering AI-powered knowledge search that lets lawyers find and reuse their firm internal work product. Founded in 2021 and based in Zurich, Switzerland, DeepJudge helps law firms and legal departments automate legal knowledge search work and get results faster. Key capabilities of DeepJudge Enterprise legal search Precedent retrieval AI answers over firm documents DMS integrations Matter context Attorney review workflows How DeepJudge works DeepJudge takes documents and text as input and produces text and search results. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Clio, Microsoft Word, Outlook and iManage, so the agent works inside existing workflows. Who uses DeepJudge? DeepJudge is built for law firms and legal departments. It suits teams that want enterprise legal search and precedent retrieval without adding headcount, while keeping people in control of review and final decisions. DeepJudge vs Harvey DeepJudge is often compared with Harvey. DeepJudge stands out for enterprise legal search and AI answers over firm documents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is DraftWise? DraftWise is an AI contract intelligence platform for law firms and in-house legal teams that uses proprietary precedent and institutional knowledge to drive contract drafting, review and negotiation. It is built on a proprietary legal ontology called Ontonomi. Key capabilities of DraftWise Drafting agent: applies firm preferences and generates client-ready documents from best precedents Precedent search: across millions of documents Playbook Studio: creates and shares guidelines and checklists Deal Table: extracts contract insights into searchable tables and compares terms Knowledge Console: manages data and mirrors document management permissions Ontonomi: structures firm knowledge into decision intelligence How DraftWise works Lawyers draft from their own best precedent, review with firm standards applied, and negotiate using historical deal comparisons and market benchmarks including EDGAR data. The Knowledge Console mirrors document management permissions and ethical walls between clients are maintained. Who uses DraftWise? Big Law, mid-market and in-house teams. Named clients include Orrick, Katten, Gunderson Dettmer, Mishcon de Reya and McGuireWoods. DraftWise pricing DraftWise does not publish prices on its website. DraftWise alternatives LawGeex and LegalOn focus on contract review, Solve Intelligence on patents, Lawhive on consumer legal services and EvenUp on personal injury demands. DraftWise centers on drafting from firm precedent.
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What is LawGeex? LawGeex is a contract review automation AI agent offering AI that reviews and redlines contracts against a company legal policies. Founded in 2014 and based in New York, New York, USA, LawGeex helps corporate legal departments automate contract review automation work and get results faster. Key capabilities of LawGeex Policy-based review Automated redlines Approval workflows Contract analytics Clause library Redline suggestions How LawGeex works LawGeex takes documents as input and produces documents and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Microsoft Word, iManage, NetDocuments and Outlook, so the agent works inside existing workflows. Who uses LawGeex? LawGeex is built for corporate legal departments. It suits teams that want policy-based review and automated redlines without adding headcount, while keeping people in control of review and final decisions. LawGeex vs Luminance LawGeex is often compared with Luminance. LawGeex stands out for policy-based review and approval workflows. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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It spans contract lifecycle management (CLM) with AI, legal research platforms, document analysis and review tools, and general-purpose legal assistants for drafting and Q&A.
The category is uniquely sensitive: accuracy, confidentiality, and avoiding hallucinated citations are critical, since errors carry professional and legal risk. Buyers weigh grounding and accuracy, confidentiality and privilege, jurisdiction coverage, and integration with legal workflows.
Legal AI ingests contracts, documents, or research questions, then extracts clauses, flags risks and deviations, drafts or redlines language, summarizes, and answers questions, grounding responses in legal sources or your document set, with lawyers reviewing output.
Platforms combine LLMs with legal knowledge bases, retrieval grounding (over case law, statutes, or your documents), clause libraries, and workflow integration, plus safeguards against hallucinated citations.
Legal teams configure templates, clause standards, and playbooks; AI drafts and reviews while lawyers verify, since professional responsibility requires human oversight of all legal work.
Identify risky clauses, deviations from standards, and missing terms, and suggest redlines.
Generate contracts, clauses, and documents from templates and playbooks in your standards.
Search and summarize case law, statutes, and regulations with grounded citations.
Extract key terms, dates, and obligations across large document sets.
Accelerate review of large document volumes for litigation and transactions.
Privilege-aware handling and source grounding to keep work confidential and accurate.
AI accelerates contract review, drafting, and research, freeing lawyers for higher-value work.
Playbooks and clause standards keep drafting and review consistent across matters.
Automated review flags risky or non-standard terms that might be missed.
Process large document sets for due diligence and e-discovery far faster.
Research and drafting assistance support smaller teams and faster turnaround.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Contract review & CLM AI | Review, redline, manage contracts | SMB to enterprise | Speeds contract work | Requires lawyer verification |
| Legal research platforms | Case law and statute research | Any | Grounded, cited research | Jurisdiction coverage varies |
| Document analysis / e-discovery | Large-volume review | Mid-market to enterprise | Scales due diligence | Cost and setup |
| Legal assistants (drafting/Q&A) | Drafting and quick answers | Any | Versatile productivity | Hallucination risk; verify |
Professional Services: Law firms accelerate review, research, and drafting across matters.
Financial Services: Review contracts and ensure regulatory compliance at scale.
Technology: Manage commercial contracts, NDAs, and compliance efficiently.
Healthcare: Handle compliance-heavy contracts and documentation with confidentiality.
Manufacturing: Manage supplier and commercial agreements and obligations.
Media: Handle rights, licensing, and contract review faster.
This is paramount. Verify the tool grounds answers in real sources and guards against hallucinated citations.
Confirm data isolation, no training on your data, and privilege-aware handling of confidential material.
Check coverage of the jurisdictions, practice areas, and document types you work in.
Ensure workflows keep lawyers reviewing and verifying, required by professional responsibility.
Verify integration with your document management, CLM, and research tools.
Confirm security certifications and understand seat or usage pricing.
Legal AI is moving toward deeper grounding in verified legal sources and firm knowledge to improve accuracy.
Agentic workflows will handle more end-to-end review and drafting with mandatory lawyer verification.
Confidentiality-first deployments and strong governance are becoming standard for the legal sector.
Buyers should prioritize accuracy and grounding, confidentiality and privilege, jurisdiction coverage, and human oversight above all.
Legal AI uses large language models and specialized tools to assist legal work, reviewing and drafting contracts, conducting legal research, extracting and analyzing clauses, summarizing documents, and accelerating e-discovery and due diligence. It spans AI-enabled contract management, legal research platforms, document review tools, and legal assistants, always with lawyers verifying the output.
Treat it as a powerful assistant whose work you must verify, not an authority. LLMs can hallucinate cases and citations, a well-documented risk that has led to sanctions. Choose tools that ground answers in verified legal sources, provide citations you can check, and build verification into the workflow. Professional responsibility requires lawyer review of all AI-assisted work.
It must be. Confidentiality and privilege are paramount, so confirm your data is isolated, never used to train shared models, encrypted, and access-controlled, and that the vendor holds relevant security certifications. Privilege-aware handling and strong data governance should be non-negotiable for any legal AI tool.
No, it augments them and is bound by professional responsibility rules requiring human oversight. AI accelerates review, research, drafting, and document analysis, while lawyers provide judgment, strategy, client counsel, and verification. The work shifts toward higher-value tasks rather than disappearing.
AI is strongest at high-volume, document-heavy tasks: contract review and clause extraction, first-draft generation from templates, summarization, and accelerating e-discovery and due diligence. It's useful for research when properly grounded with citations. It's weakest where nuanced judgment, strategy, or unverified novel reasoning is required.
Coverage of jurisdictions, practice areas, and document types varies by tool, and accuracy depends on it. Confirm the platform covers the legal systems and areas you work in, and validate research and review quality on your actual matters before relying on it.
Common models are per-seat subscriptions or usage-based, sometimes as add-ons within CLM or research platforms, with enterprise tiers for security and integration. Estimate your team size and matter volume, and weigh accuracy, confidentiality, and coverage heavily alongside cost.
Make accuracy and grounding (anti-hallucination), confidentiality and privilege protection, and jurisdiction coverage your top criteria, then evaluate human-oversight workflows, integration with your document and research systems, security certifications, and pricing. Pilot on real matters and verify output rigorously before adopting.
