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37 Listings in Legal AI Available
What is Kertos? Kertos is a privacy compliance automation AI agent offering AI-driven data privacy and compliance automation for GDPR, ISO 27001 and more. Founded in 2021 and based in Munich, Germany, Kertos helps SMBs and mid-market in Europe automate privacy compliance automation work and get results faster. Key capabilities of Kertos Data mapping automation Records of processing Vendor risk Compliance frameworks Jurisdiction-specific content Cited sources How Kertos works Kertos takes system data as input and produces reports 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, Outlook, Microsoft 365 and Slack, so the agent works inside existing workflows. Who uses Kertos? Kertos is built for SMBs and mid-market in Europe. It suits teams that want data mapping automation and records of processing without adding headcount, while keeping people in control of review and final decisions. Kertos vs OneTrust Kertos is often compared with OneTrust. Kertos stands out for data mapping automation and vendor risk. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Garfield.Law? Garfield.Law is an automated debt recovery platform that helps businesses recover unpaid invoices of up to 10,000 pounds through the small claims route in England. The vendor says it is regulated by the Solicitors Regulation Authority. Key capabilities of Garfield.Law Document processing: Reads invoices, contracts and accounting data. Legal correspondence: Generates demand letters and handles court communications. Accounting integration: Syncs with Xero, Sage, QuickBooks and FreeAgent. Bulk claims: Processes high volumes of claims. Team access: Role-based access for finance and operations staff. How Garfield.Law works You upload invoices for instant analysis, the AI generates and sends legal letters and handles defenses, and the platform pushes for settlement or escalates to court. The vendor cites about 5 minutes per document and claims it is 20 times faster and 10 times cheaper than traditional solicitors. Who uses Garfield.Law? Businesses and finance teams chasing unpaid commercial invoices in England and Wales. The vendor says it is the only AI authorized and regulated by the SRA to deliver legal services in this area. Garfield.Law pricing The vendor lists 2.00 pounds for initial correspondence and 7.50 pounds for a formal letter before action, with costs recoverable from defendants if the claimant wins. Garfield.Law alternatives Harvey and CoCounsel are AI assistants for law firms, and DeepIP and Marveri serve other legal workflows. Garfield.Law is a direct-to-business debt recovery service.
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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.
Category Leader
Harvey
#1 in Legal AI
Best Value Legal AI
LawDroid
From $25/mo
Trending
Harvey
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Market Insights
Derived from live Saaskart marketplace data, engagement, reviews, and pricing for this category.
Tech stacks
See where legal ai fits in a complete stack, with the other software, AI agents and services each business needs.
What is Docusign Iris? Docusign Iris is the AI engine that powers Docusign Intelligent Agreement Management, helping teams understand, search and act on agreements. It is delivered inside Docusign products rather than as a separate app. Key capabilities of Docusign Iris Clause extraction: Identifies key terms and clauses in agreements Agreement summaries: Summarizes contracts for quick review Obligation tracking: Surfaces dates and commitments in agreements Navigator repository: Search and organize agreements in a central repository CRM sync: Connects agreement data with systems such as Salesforce Workflow assistance: Helps route and act on agreements How Docusign Iris works Agreements are stored in the Docusign platform or its Navigator repository, where Iris reads the documents, extracts terms and builds summaries. Reviewers see the extracted data alongside the agreement and decide what to act on. Who uses Docusign Iris? Docusign Iris is used by legal, sales, procurement and operations teams that manage large volumes of agreements and already use Docusign for signing. Docusign Iris pricing Docusign does not publish a separate price for Iris. It is bundled into Docusign Intelligent Agreement Management plans, which are quoted by Docusign. Docusign Iris alternatives Alternatives include Ivo and Harvey for legal AI, Wordsmith AI for contract and legal workflows, and LawGeex for contract review. Docusign Iris is tied to Docusign agreements.
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What is Crosby? Crosby is an AI-native law firm that reviews and negotiates commercial contracts such as MSAs, DPAs and SaaS agreements. It is a registered PLLC, so every output is reviewed by a licensed attorney rather than delivered as raw model output. Key capabilities of Crosby Contract review: Reads incoming commercial agreements and flags issues against a client playbook Negotiation support: Drafts redlines and counterproposals informed by market data on how comparable deals settle Attorney oversight: Licensed lawyers review all work and manage the AI agents Custom memory: A persistent, secure knowledge base stores each client's positions and preferences Fixed document rates: Work is priced by the document instead of by the hour Malpractice coverage: Professional liability insurance applies because the firm is a registered law firm How Crosby works A client sends a contract to Crosby. AI agents research, analyze and draft against the client's stored playbook, and Crosby says its negotiation intelligence draws on data from 76% of the Fortune 100. More than 50 licensed attorneys then review the work and manage the agents before it goes back, so a human lawyer signs off on every deliverable. Who uses Crosby? Crosby targets fast-growing companies that need quick contract turnaround and sales teams trying to shorten time to signature. It fits teams with a high volume of commercial agreements who want legal advice from a firm, not only drafting software. Crosby pricing Crosby states that it charges fixed rates by the document but does not publish a rate card. Quotes are given after sign-up or by contacting the firm. Crosby alternatives Crosby is compared with LawGeex, Solve Intelligence, Lawhive and Della. Unlike pure software tools, Crosby is itself a law firm that delivers attorney-reviewed work.
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What is Marveri? Marveri is an AI platform for document review and analysis in M&A transactions, venture financings and corporate deals. Key capabilities of Marveri Data room organization: Organizes and renames data rooms with custom naming and folders. Multi-document comparison: Comparison and redlining across several documents at once. Automated reporting: Diligence memos, request lists, schedules and tie-outs in minutes. Relationship mapping: Links related documents and flags missing materials. Issue detection: Finds critical issues and tracks key clauses. How Marveri works You upload documents or have Marveri build a data room, select the work products you need such as memos or schedules, and receive cited, shareable and exportable reports. Citations tie findings back to source documents. Who uses Marveri? M&A lawyers, venture counsel, boutique firms and corporate deal teams on the buy side or sell side. Marveri pricing Pricing is not disclosed on the website. Marveri alternatives Spellbook and CoCounsel assist lawyers with drafting and research, DeepIP serves patents and Callidus AI and Garfield.Law serve other legal workflows. Marveri focuses on deal diligence.
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What is Predictice? Predictice is a French legaltech launched in 2016 by engineers and lawyers. It combines case law search with machine learning analytics so legal professionals can quantify outcomes and find relevant decisions. Key capabilities of Predictice Case law search: automatic identification of relevant decisions Success-rate analysis: quantified outcomes by court Compensation estimates: likely award amounts Decision summaries: GPT-based summaries of court decisions Drafting assistant: generative drafting support France hosting: data hosted in France under GDPR How Predictice works Users search a corpus of more than 60 million legal documents reported by third-party sources, and the platform highlights relevant case law and statistics on success rates and compensation. A GPT-based layer summarizes decisions and assists drafting. The vendor site could not be fetched during review, so details come from public listings. Who uses Predictice? Third-party sources report use by 56 of the 100 largest Parisian law firms, about 2,000 lawyers across France, insurers and legal departments of CAC 40 companies. It targets lawyers and in-house legal teams in France. Predictice pricing Predictice is sold as a subscription priced by number of licenses, with training and support included. Public listings describe pricing as quote-based; no price is confirmed by the vendor here. Predictice alternatives Alternatives include Doctrine for French legal research, Lexis+ AI from LexisNexis, and Dalloz for French legal publishing and search.
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What is LawDroid? LawDroid is a generative AI legal technology company. Its LawDroid Copilot assists legal professionals with research, document review, drafting, summarizing and brainstorming, and its Builder creates custom chatbots for law firm websites. Key capabilities of LawDroid Legal research help: Copilot answers legal questions and brainstorms Document review: Review and summarize uploaded documents Drafting: Draft legal text with AI assistance Summarizing: Condense long documents Builder chatbots: Custom-designed chatbots for firm websites Intake bots: Collect client information on a website How LawDroid works Lawyers use Copilot as a chat assistant for research, drafting and review, with month-to-month access. Firms use Builder to design a chatbot that talks to website visitors and gathers intake details. The company was founded by Tom Martin, a lawyer and legal AI advocate. Who uses LawDroid? Solo practitioners and small to mid-size law firms that want an AI assistant and website intake automation. LawDroid pricing Lawyerist reports Copilot at $25 per user per month with no annual contract, Builder at $99 per user per month and a 7-day free trial. These are third-party figures, and the vendor site was unavailable to review. LawDroid alternatives Alternatives include Gideon for legal assistant workflows, Briefpoint for discovery responses and Finch for legal AI drafting.
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What is Ivo? Ivo is an AI contract review and analysis platform for in-house legal teams. It applies playbook-based redlines directly in Word or Google Docs, answers questions about agreed terms and extracts data from executed contracts. Key capabilities of Ivo Review: applies redlines in Word and Google Docs using your playbook Assistant: answers questions on agreed terms, legal requirements and recommended changes Intelligence: extracts contract data for plain-language queries and benchmarking Clause benchmarking: compares clauses with executed contracts by law, type and industry Document comparison: flags deviations from prior agreements Legal change tracking: impact assessments for new legal developments How Ivo works Legal teams encode their negotiation positions in a playbook, then Ivo reviews incoming contracts against it and proposes redlines inside the document editor. A lawyer accepts or edits each change. Ivo says it does not use customer data for model training. Who uses Ivo? In-house legal departments at technology and consumer companies. Customers named on its site include Meta, Uber, IBM, Atlassian, Canva, DoorDash, Intel, Reddit, Coinbase and Pinterest. Ivo pricing Ivo does not publish pricing and sells through demos and quotes. Ivo alternatives Harvey is a broader legal AI platform, LegalOn and Genie AI also review contracts against playbooks, and Wordsmith AI focuses on in-house legal support.
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What is Finch? Finch is a personal injury AI AI agent offering AI for personal injury law firms that automates case management tasks and client communication. Finch helps personal injury law firms automate personal injury AI work and get results faster. Key capabilities of Finch Client updates Medical records follow-up Case task automation Intake support Matter context Attorney review workflows How Finch works Finch takes text and documents as input and produces text and actions. 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 Finch? Finch is built for personal injury law firms. It suits teams that want client updates and medical records follow-up without adding headcount, while keeping people in control of review and final decisions. Finch vs EvenUp Finch is often compared with EvenUp. Finch stands out for client updates and case task automation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Clearbrief? Clearbrief is an AI-powered legal writing platform that runs inside Microsoft Word and checks drafts against the record with hyperlinked citations. Litigators, in-house counsel, courts and government agencies use it to draft and verify pleadings. Key capabilities of Clearbrief Fact-checking: Verify claims against record evidence. Hyperlinked citations: Link statements to source documents. Document analysis: Review evidence and case files. Timeline generation: Build timelines from documents. Table generation: Create tables from the record. How Clearbrief works Lawyers upload case documents and draft inside Word, and Clearbrief links each factual assertion to supporting evidence with hyperlinked citations while flagging unsupported statements. It also builds timelines, tables and Tables of Authorities. The vendor states data is never used for model training and offers a Bring Your Own Storage option. Who uses Clearbrief? Am Law 200 firms, courts, government agencies and in-house legal teams use Clearbrief; the vendor reports 3.2M+ pleadings drafted since its 2021 launch. Clearbrief pricing The vendor lists a Solo plan at $300 per month per user, with multi-year discounts on request. Enterprise Unlimited is custom priced with volume discounts and includes one-to-one onboarding training. Clearbrief alternatives Harvey is a broader legal AI assistant, CoCounsel from Thomson Reuters covers research and drafting, and Spellbook focuses on contract drafting in Word. Clearbrief is distinguished by record-linked fact-checking for litigation writing.
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What is Ironclad? Ironclad is an AI-powered contract lifecycle management platform that streamlines contracting from creation through fulfillment. It supports six stages: create, review, sign, store, analyze and fulfill. Key capabilities of Ironclad Ironclad AI automation: AI runs behind the scenes in workflow steps. Insights: AI analyzes contract data for key information. Jurist AI Assistant: Agentic assistant for contract review, drafting and negotiation. Contract repository: Central store for executed contracts. E-signature and execution: Signing workflows. How Ironclad works Teams generate contracts from templates, route them through approval workflows and use Jurist to review, draft and negotiate. Signed agreements go into a central repository where AI extracts data and analytics track obligations. Ironclad connects to 20+ business tools. Who uses Ironclad? Legal and business teams at large companies use Ironclad. The vendor lists Dropbox, Rivian, Instacart, L'Oreal and Heineken among 100+ enterprises. Ironclad pricing The vendor page directs visitors to its pricing page without listing amounts, so cost is quote-based. Ironclad alternatives Spellbook drafts and reviews inside Microsoft Word, Levelpath covers procurement contracts as part of source-to-pay, and Docusign offers agreement management. Ironclad is distinguished by a full contract lifecycle with an agentic legal assistant.
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What is CoCounsel? CoCounsel is a professional legal assistance AI agent offering Thomson Reuters AI assistant for legal research, document review, drafting and analysis. Founded in 2023 and based in Toronto, Ontario, Canada, CoCounsel helps law firms and corporate legal automate professional legal assistance work and get results faster. Key capabilities of CoCounsel Legal research with Westlaw Document review Drafting Deposition prep Citation-backed answers Playbook-based review How CoCounsel works CoCounsel takes text and documents as input and produces text and documents. It is powered by OpenAI GPT (managed) models, with the vendor managing prompts, models and updates. It connects to tools such as Microsoft Word, Outlook, iManage and NetDocuments, so the agent works inside existing workflows. Who uses CoCounsel? CoCounsel is built for law firms and corporate legal. It suits teams that want legal research with Westlaw and document review without adding headcount, while keeping people in control of review and final decisions. CoCounsel vs Harvey CoCounsel is often compared with Harvey. CoCounsel stands out for legal research with Westlaw and drafting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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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.
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.
