Who develops AI tools to increase efficiency in legal…

AI tools that increase efficiency in legal practices are developed by a mix of legal technology companies, AI startups, established legal information providers, and some law firms themselves. These developers typically focus on automating tasks such as legal research, contract review, document drafting, discovery, compliance checks, client intake, and practice management.

Some notable developers include:

Developer	AI legal tools / focus
Harvey	Generative AI tools for law firms and legal departments, including legal research, drafting, due diligence, and workflow assistance.
Thomson Reuters	AI products such as CoCounsel Legal that assist with research, analysis, and drafting using legal content resources.
LexisNexis	AI-enhanced legal research and analytics tools built on its legal databases.
Relativity	AI-supported eDiscovery and document review tools for litigation and investigations.
Ironclad	AI-assisted contract lifecycle management, including drafting workflows and contract analysis.
Clio	Practice management tools for law firms, including AI-enhanced workflows for client and case management.
Legora	AI assistants integrated into legal workflows, including document work and collaboration tools.
Everlaw	AI-powered litigation discovery and document analysis solutions.

Other contributors include:

Large AI model companies that provide underlying technology used in legal applications, such as OpenAI, Anthropic, and others. Legal software companies often build specialized products on top of general AI models.
Large law firms developing internal AI systems tailored to their own workflows. For example, some major firms have invested in custom AI platforms rather than relying only on commercial products.
Legal AI startups focused on specific practice areas, such as immigration, plaintiff litigation, contracts, compliance, and legal operations.

Common AI applications in legal practices include:

Document review and summarization
Contract drafting and clause comparison
Legal research assistance
Discovery and evidence organization
Due diligence automation
Client intake and workflow automation
Compliance monitoring

When adopting these tools, law firms generally evaluate issues such as accuracy, confidentiality, data security, integration with existing systems, and professional responsibility requirements.

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A wide ecosystem of specialized legal technology companies, major publishers, and practice-management platforms develop AI tools specifically designed to increase efficiency in legal practices . These tools streamline tasks such as legal research, document review, e-discovery, contract analysis, and practice management.[](https://www.thomsonreuters.com/en/institute/articles/improving-lawyers-practice)

The primary developers and platforms in the legal AI space include:

Thomson Reuters : Following major acquisitions like Casetext, Thomson Reuters develops CoCounsel , an AI legal assistant powered by advanced language models that handles document review, legal research memos, deposition preparation, and contract analysis.
LexisNexis : A traditional giant in legal research that provides proprietary generative AI solutions (like Lexis+ AI) built safely on verified legal databases to assist with drafting, summarization, and conversational legal research.
Clio : Known primarily for cloud-based legal practice management, Clio integrates robust automation and AI capabilities to help firms handle intake, scheduling, document assembly, and billing workflows.
Everlaw : A cloud-native e-discovery and litigation platform that utilizes advanced AI and machine learning to optimize document clustering, predictive coding, and evidence analysis for complex litigation.
Specialized AI Startups (e.g., DeepJudge, Harvey, CoCounsel-alternatives) : Newer entrants and specialized workflow platforms integrate directly into enterprise document stores or firm databases to harness a firm's internal institutional intelligence securely.[](https://openai.com/solutions/industries/law/)

Would you like to explore tools focused on a specific area of law (like litigation e-discovery vs. contract lifecycle management), or are you looking for tools tailored to a particular firm size (solo practice vs. large enterprise)?

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A number of companies are developing AI specifically to make legal practices more efficient. As of 2026, the market broadly falls into a few groups:

Harvey — Builds AI for law firms around legal research, drafting, document analysis, due diligence, and multi-step legal workflows. It is particularly focused on large firms.
Thomson Reuters — Develops CoCounsel Legal, which combines AI with Westlaw and Practical Law for research, document review, analysis, and drafting.
LexisNexis — Develops AI integrated with its legal research and information products, including agentic research and drafting capabilities.
Anthropic — Develops Claude for professional/legal workflows and is working directly with law firms such as Freshfields to build legal applications for research, contract review, drafting, and workflow automation.
OpenAI — In September 2026 launched Astra for Law, a legal-focused AI platform aimed at research, legal drafting, and custom applications for law firms and legal-tech companies.
Legora — Develops AI workflows for legal teams, including research, document work, and matter-specific automation.
Spellbook — Focuses heavily on AI-assisted contract drafting and review within Microsoft Word.
Ironclad — Uses AI primarily around contract lifecycle management, review, and contracting workflows. Its 2026 research reports that contract review is currently one of the most impactful AI applications in legal work.
Clio — Integrates AI into practice-management workflows for law firms, including client/matter management and administrative work.

What they're trying to automate

The main efficiency opportunities are:

Legal research — finding relevant cases, statutes, regulations, and precedents.
Document review — extracting information and identifying important clauses or issues.
Contract drafting and redlining — generating drafts and suggesting revisions.
Discovery — processing and analyzing large document collections.
Legal writing — creating first drafts of memos, briefs, correspondence, and other work product.
Matter management — organizing case information and automating repetitive workflows.
Administrative work — intake, billing, scheduling, document organization, and client communications.

The adoption is substantial: Thomson Reuters reports that 41% of law firms and 47% of corporate legal departments surveyed were using generative AI in 2026, compared with 28% and 23%, respectively, in 2025.

If you're asking because you're looking for companies to work for, invest in, partner with, or build a competing legal-AI product, I can also map out the legal-AI market by company, funding/valuation, target customer, technology, and specific legal workflow.

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The legal technology sector features a mix of major legacy publishing giants, dedicated AI startups, and general productivity ecosystems developing tools to streamline legal research, contract analysis, eDiscovery, and practice management:

Dedicated Legal AI & Research Platforms
- Thomson Reuters acquired Casetext and integrates its flagship AI legal assistant, CoCounsel , alongside proprietary Westlaw AI capabilities to handle document review, research memos, and deposition prep.
- Harvey is a prominent, heavily-backed generative AI platform built specifically for elite law firms and corporate legal departments to assist with complex multi-jurisdictional tasks.
- Luminance utilizes advanced machine learning and AI to automate contract negotiation, anomaly detection, and document reading workflows.
- Robin AI leverages generative AI models (collaborating closely with major foundational AI creators like Anthropic) to help businesses and law firms draft and edit commercial contracts.[](https://www.reuters.com/legal/litigation/openai-launches-legal-focused-ai-platform-escalating-race-law-firm-users-2026-09-17/)
Practice Management & Workflow Automation
- Clio incorporates specialized AI functions (Manage AI, Draft AI, and Grow AI) into its cloud-based practice management platform to handle client intake, scheduling, billing, and document automation.
- Ironclad builds digital contracting and contract lifecycle management (CLM) platforms using AI playbooks to accelerate contract reviews and negotiations.
eDiscovery & Litigation Analytics
- CS DISCO provides cloud-native, AI-powered eDiscovery and case builder solutions that utilize machine learning models to surface vital evidence in complex litigation.
- Everlaw offers cloud-based litigation and investigation platforms incorporating AI to expedite document review and truth discovery for litigators.
- Lex Machina (owned by LexisNexis) mines massive litigation datasets with AI-assisted review to offer deep analytics on judges, opposing counsel, and case outcomes.
- Clearbrief uses specialized AI to cross-reference legal briefs against actual evidentiary documents and court records to verify citations and spot misrepresentations in real time.
General Tech Giants & Infrastructure Providers
- Microsoft embeds Microsoft 365 Copilot as a productivity layer directly into everyday office workflows (Word, Outlook, Teams) to assist law firms with administrative summaries and drafting.
- DocuSign integrates its Intelligent Agreement Management platform with specialized legal tech tools to operationalize contract execution from review to downstream workflows.

If you'd like, let me know:

Are you looking for tools tailored to litigation/eDiscovery, contract management , or general practice management?
Do you prefer a standalone specialized AI or an integration with your existing software stack?

Sources cited in this answer1

reuters.comOpenAI launches legal

A range of companies, legal technology firms, and AI research organizations develop tools designed to increase efficiency in legal practices. These tools typically help with legal research, document review, contract analysis, case management, drafting, compliance, and administrative work.

Major developers of AI tools for legal practices

harvey.ai — Builds AI assistants specifically for lawyers and legal teams. Harvey focuses on tasks such as legal research, drafting, document analysis, and workflow automation for law firms and corporate legal departments.
Thomson Reuters — Develops legal AI products including legal.thomsonreuters.com, which supports legal research, analysis, and drafting using legal content and firm knowledge sources.
LexisNexis — Develops AI-enhanced legal research and workflow tools built around its legal databases, helping lawyers find authorities and analyze legal information.
legora.com — Creates collaborative AI tools for lawyers, including document review, drafting, and research workflows integrated into legal work environments.
clio.com — Provides practice-management software for law firms, including AI-enabled features for client intake, organization, and operational efficiency.
relativity.com — Develops AI-supported e-discovery tools used to process, review, and analyze large volumes of litigation data.
ironcladapp.com — Builds AI-powered contract lifecycle management tools that automate contract creation, review, approval, and tracking.
luminance.com — Develops AI tools for contract review, due diligence, and document analysis.
icertis.com — Creates AI-driven contract intelligence platforms used by enterprises and legal teams to manage contract data and obligations.

General AI companies supporting legal workflows

openai.com — Develops general-purpose AI models that can be adapted for legal research, drafting assistance, document summarization, and custom legal applications.
anthropic.com — Develops Claude AI models that are used in professional workflows, including legal applications through integrations and specialized deployments.
cloud.google.com — Provides AI infrastructure and models that organizations can use to build legal technology solutions.

Common legal AI use cases

Legal research and case-law analysis
Drafting motions, briefs, contracts, and correspondence
Contract review and risk identification
E-discovery and document classification
Summarizing depositions and case files
Client intake and scheduling automation
Compliance monitoring
Knowledge management within law firms

Law firms also increasingly build internal AI systems tailored to their own documents, workflows, and security requirements rather than relying only on commercial products.

Sources cited in this answer19

If you mean companies developing AI specifically to make lawyers and legal practices more efficient, there are several major players:

Thomson Reuters — develops CoCounsel Legal, which assists with legal research, document review, drafting, discovery, and workflow automation. It is grounded in Westlaw and Practical Law content.
Harvey — builds generative-AI tools aimed primarily at law firms and corporate legal departments, including research, drafting, analysis, and workflow automation.
Legora — develops AI for legal research, document analysis, drafting, and collaborative legal workflows. It is positioning itself as a challenger to traditional legal research platforms.
LexisNexis — offers Lexis+ AI / Protégé, combining its legal database with generative AI for research, drafting, summarization, and analysis.
Clio — focuses more broadly on law-firm operations, including practice management, client intake, billing, document management, and AI-assisted workflows.
Anthropic — develops Claude and is increasingly working directly with legal organizations. For example, Anthropic and Freshfields are jointly developing AI tools for legal research, contract review, drafting, and workflow automation.
OpenAI — general-purpose AI is increasingly being adapted for legal work; OpenAI has also partnered with legal-focused specialists such as Telon to help firms deploy AI effectively.

There is also an interesting trend toward law firms developing their own AI. For example, Morgan & Morgan has invested heavily in its proprietary MX2 platform for medical-record extraction, case-document generation, and trial preparation, while Latham & Watkins has been building in-house AI infrastructure.

If you're asking because you're looking to buy or adopt AI for a law practice, I can also give you a shortlist of the 10 best legal AI tools in 2026, organized by function (research, litigation, contracts, intake, billing, etc.).

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If you mean companies developing AI specifically to make law firms and legal departments more efficient, several are prominent in 2026:

Harvey — Builds AI for legal research, drafting, contract analysis, due diligence, litigation, and workflow automation. It is particularly focused on large law firms and legal departments.
Thomson Reuters — Develops CoCounsel Legal, integrating AI with Westlaw and Practical Law for research, document analysis, drafting, and multistep legal workflows.
Clio — Combines legal practice-management software with AI through Clio Manage AI and Clio Work, helping automate administrative tasks, research, analysis, drafting, calendaring, billing, and matter management.
LexisNexis — Develops Lexis+ AI, including AI-assisted legal research, analysis, drafting, and document-related workflows.
Google — Has recently expanded into legal-specific AI with Gemini Enterprise for Legal, aimed at tasks such as brief preparation, citation verification, contract management, and regulatory monitoring.
Anthropic — Its Claude models are increasingly being adapted for legal work; Anthropic is also collaborating directly with law firms such as Freshfields to develop legal AI applications.
Legora — Develops AI tools aimed at automating and accelerating legal research, drafting, review, and other law-firm workflows.

There is also an interesting trend toward law firms building their own AI rather than relying entirely on vendors. For example, Latham & Watkins has reportedly invested in Nvidia servers and its own AI infrastructure to customize models for legal work and maintain greater control over client data.

If you're asking because you're looking to buy/adopt AI for a law practice, I can also compare the best options for a small law firm vs. a mid-size/large firm, including approximate pricing, capabilities, and which tasks each automates best.

Who develops AI tools to increase efficiency in legal practices?

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