Legal AI Power List

Harvey has fast become shorthand in big firms for "the AI system," in the same way "Lexis" or "Westlaw" once defined research. It combines large language models with legal-domain training and firm-specific data to support research, drafting, due diligence and more.

What it does in practice:

• Handles first-pass research memos, surveying authorities and secondary materials, with supporting citations.
• Drafts and redrafts clauses, letters, advices and witness outlines in the firm's own style, when connected to internal precedents.
• Assists due diligence and large document review by reading and summarising contracts at scale.

Where it's going:

Harvey is moving from "fancy chatbot" to a platform threading together multiple workflows, with deeper integrations into DMS, KM, billing and matter management. In 2025 it reported significant ARR growth and expanded globally. Expect more agent-style behaviour — not just drafting but pulling matter data, checking conflicts and kicking off workflows.

Why lawyers should care:

For litigation, deals and advisory work, this is one of the few tools that can materially change leverage and write-off rates on complex matters. Firms using it seriously are already redesigning junior work and training, not just shaving a few minutes off a memo.

CoCounsel Legal is Thomson Reuters' AI platform that threads together research, document analysis and drafting over Westlaw, Practical Law and firm content.

What it does:

• Lets lawyers ask natural-language questions answered from Westlaw/Practical Law content with linked authorities.
• Reviews and compares documents, flags issues and suggests clause language based on Practical Law playbooks.
• Uses agent-style orchestration so one query can trigger multiple research and analysis steps.

Why lawyers should care:

If your firm is already wedded to Westlaw and Practical Law, CoCounsel is the shortest path to serious AI without ripping anything out. It also raises the bar for research quality — your non-AI research will start to look slow and thin by comparison.

Lexis+ AI is the AI front door to LexisNexis content, with built-in drafting and litigation analytics. It is aimed squarely at litigators and research-driven practices that live in Lexis already.

What it does:

• Conversational research over LexisNexis case law, legislation and secondary sources, with citations.
• Drafting support for arguments, submissions and correspondence, using Lexis content as the backbone.
• Litigation analytics, surfacing trends in judges, courts and outcomes to inform strategy and settlement decisions.

Why lawyers should care:

For litigation and contentious regulatory work, ignoring outcome data is becoming professionally awkward. Tools like Lexis+ AI move that kind of analytics from niche to everyday.

Cambridge-founded and built on a proprietary Legal-Grade™ AI trained on over 150 million verified legal documents, Luminance automates contract review, negotiation and compliance workflows. It is used by over 1,000 organisations across 70 countries — including more than a quarter of the Global Top 100 law firms and all four of the Big Four consulting firms.

In 2025, Luminance raised $75 million in Series C funding and doubled global revenue for the second consecutive year, with North American growth of 127% year-on-year.

What it does in practice:

• AI-powered contract review that flags non-standard clauses, suggests compliant alternatives and integrates directly with Word.
• Automated negotiation: marks up contracts holistically, redrafts non-standard clauses in a single click and draws on prior negotiation history.
• Contract lifecycle management: tracks renewal dates, obligations and risks in real time across the entire contract portfolio.
• Compliance module: monitors evolving regulatory standards, identifies exposure and provides an auditable compliance trail globally.
• Lumi: a conversational AI assistant delivering cited answers from first review through to portfolio-wide insight.

January 2026 platform relaunch:

Luminance launched its largest ever platform update in January 2026, introducing "institutional memory" architecture that retains negotiation history and legal decision-making across all enterprise contracts. Early adopters report cutting contract negotiation time by up to 90% and reclaiming over 30% of team time.

Why lawyers should care:

Luminance is one of the few platforms with the proven enterprise scale, proprietary legal dataset and product depth to compete with both the research giants and the CLM specialists. For M&A due diligence and large-scale contract review, it is a Tier 1 option that any serious list must include.

RelativityOne is the cloud-hosted version of the platform, built on Microsoft Azure and used globally by law firms, corporations and government agencies. Its generative AI suite, Relativity aiR, became standard for all RelativityOne customers at Relativity Fest 2025 — removing the cost barrier that had previously limited AI adoption in document review.

The aiR suite:

• aiR for Review: identifies impactful content and explains why it matters — faster first-pass review with consistent rationale.
• aiR for Privilege: pinpoints privileged information with speed and accuracy to reduce costly disclosure risks.
• aiR for Case Strategy (launched late 2025/early 2026): auto-extracts key facts, visualises fact chronologies, accelerates deposition prep and creates witness and transcript summaries. Early adopters pull facts up to 70% faster than manual processes.
• Plain-language querying: turn natural language questions into instant, cited answers across the document set.

Why lawyers should care:

If your firm handles complex litigation or regulatory investigations, Relativity is almost certainly already in your stack. The question now is whether you are using the AI layers that come with it — or leaving efficiency on the table.

Vincent AI sits inside the vLex platform and specialises in global research. It is a natural fit for firms doing cross-border disputes, finance and regulatory work.

What it does:

• AI-powered research over multi-jurisdiction content, including case law and legislation beyond the usual US/UK axis.
• Document analysis — upload a pleading or contract and ask Vincent to find authorities and materials that support or attack it.

Why lawyers should care:

If your practice crosses borders, an AI tool that only really "speaks" one jurisdiction is a liability. Vincent fills that gap better than most general tools.

Spellbook (by Rally) is built for lawyers who live in Word and don't want to leave it.

What it does:

• Suggests clauses, definitions and edits as you draft, right in Word, based on the contract and your playbooks.
• Flags non-standard language and risk issues compared to your precedent or "market," reducing surprises at signing.
• Automates repetitive drafting tasks like definitions, cross-references and conforming terms across a long agreement.

Why lawyers should care:

If your practice lives in commercial contracts and deals, this is an obvious way to reclaim evenings without rewriting your entire tech stack.

Ironclad is a contract lifecycle management platform used heavily by in-house teams, with AI built into review, negotiation and obligation management.

What it does:

• AI-assisted contract creation from templates and playbooks, via simple questionnaires and workflows.
• Clause and obligation extraction from third-party paper and legacy contracts.
• Playbook-style guidance and automatic redlines to align incoming contracts with preferred positions.

Why lawyers should care:

For in-house counsel, this is how you stop being the bottleneck without relinquishing control. For firms, it's a sign that your clients' contract function will not look the same in five years.

Kira is one of the more mature AI tools on this list, with years of use in M&A and large contract review projects.

What it does:

• Uses trained models to extract clauses and data points from large sets of contracts.
• Supports custom models for specific clients or deal types, which becomes firm IP over time.

Why lawyers should care:

If you are still doing big-ticket due diligence with manual review and spreadsheets, your margins and timelines are exposed.

Everlaw is an eDiscovery platform with an AI assistant for document review and case building, particularly well-suited to smaller litigation teams and plaintiff-side firms.

What it does:

• Clusters and prioritises documents using machine learning, helping teams find key evidence faster.
• Summarises long documents and threads into digestible briefs.
• Helps build timelines and storylines based on the documents, emails and transcripts you load.

Why lawyers should care:

Discovery is where budgets and sanity go to die. Everlaw offers a more accessible entry point to AI-assisted review than Relativity for smaller teams, with strong usability.

Darrow's "justice intelligence platform" scans public data to identify potential legal violations and class actions.

What it does:

• Uses generative AI and NLP to read huge public data sets, regulatory filings and news, surfacing potential claims.
• Pairs potential matters with law firms and litigation funders.

Why lawyers should care:

Plaintiff and impact litigation teams that ignore this category are leaving both revenue and social impact on the table.

Clio is best known as practice management software; it now bundles AI capabilities aimed squarely at smaller firms. According to the Clio 2025 Legal Trends Report, 79% of legal professionals now use AI tools in some capacity.

What it does:

• AI drafting support for emails, letters and some documents within the practice platform.
• Intake and triage support, including chatbots and structured data capture.

Why lawyers should care:

For small firms without the budget or appetite for a stack of point solutions, this is probably the most realistic route to using AI in anger.

AI4Legal (developed by TTMS) is a tailored AI implementation approach designed specifically for law firms and legal departments that want to automate real workflows rather than experimenting with disconnected tools.

What it does:

• Court document analysis, contract generation from templates, processing of court transcripts and summarisation of complex legal materials.
• Especially valuable for firms handling large volumes of structured and unstructured legal data.

Why lawyers should care:

If you are still in early experimentation mode, tools like AI4Legal offer a way to get tangible wins without a multi-year transformation project.

LegalFly is focused on in-house legal teams in regulated enterprises, particularly for contract workflows and compliance.

What it does:

• Contract review, negotiation support and workflow management for in-house teams.
• Strong Microsoft integration and data controls, addressing common IT and security concerns.

Why lawyers should care:

If you act for sophisticated in-house teams, you'll increasingly be plugged into their AI-driven processes whether you like it or not.

Smith.ai combines human receptionists with AI-enhanced intake, making it a practical option for small and mid-sized firms.

What it does:

• Handles calls, web chat and intake using AI-assisted scripts to capture facts, conflicts and urgency.
• Integrates with practice management tools like Clio.

Why lawyers should care:

Intake is where many smaller firms quietly lose work. AI-assisted, always-on intake can be the difference between a growing, data-driven pipeline and a phone that rings out.

Diligen offers AI-driven contract review for firms and in-house counsel, often used for commercial work and smaller deals.

What it does:

• Identifies key clauses, risks and missing terms in contracts.
• Provides overviews and checklists that speed up review and negotiation.

Why lawyers should care:

For many teams, Diligen-level tools are enough to move off manual review for a large chunk of business-as-usual contracts.

Beyond branded tools, firms are experimenting with agentic systems — AI that can call other tools, move data around and complete multi-step tasks without human intervention at each step.

What they do:

• Perform chained tasks like reading a complaint, pulling similar matters, drafting a first response and logging time.
• Orchestrate systems: DMS, research tools, billing and communication.

Why lawyers should care:

This is where the real leverage sits — not in fancy drafting per se, but in automating the glue work around it. Once governance and security are sorted, these systems will quietly become the nervous system of many firms' back and middle office.

It's worth calling out litigation analytics as a distinct category beyond the capabilities already described within Lexis+ AI and CoCounsel.

What they do:

• Predict case outcomes based on historical data, giving probability ranges for win, loss or settlement.
• Provide judge, court and opposing counsel analytics, including tendencies and timelines.

Why lawyers should care:

Firms using these tools will walk into case strategy meetings with quantified expectations; others will rely on war stories.

Darrow is the best-known example, but there is a cluster of tools that use AI to scan public, regulatory and transactional data for systemic violations and risk.

What they do:

• Spot patterns indicating consumer, competition, data or employment violations across large populations.
• Connect those insights to litigators, regulators and sometimes funders.

Why lawyers should care:

For both plaintiffs and regulators, this is how you scale impact beyond the handful of cases that happen to walk in the door.

What they do:

• Provide rule- and AI-based guidance on discrete civil problems — housing, fines, consumer issues.
• Automate form filling, letters and basic procedural steps.

Why lawyers should care:

These tools will increasingly handle the "long tail" of low-value work and influence what clients expect in terms of speed and clarity of advice — regulatory pushback notwithstanding.

Notion, ClickUp and similar platforms are not "legal" as such, but they are becoming the AI-enabled operating system for legal teams.

What they do:

• Provide AI-assisted note-taking, summarising, tagging and retrieval across firm knowledge.
• Orchestrate tasks, sprints and playbooks within legal ops teams.

Why lawyers should care:

No matter how good your point solutions are, a messy knowledge environment will choke their value. These tools are how you impose some order, with AI helping to stitch everything together.

ChatGPT and similar systems remain the unofficial starting point for many lawyers experimenting with AI. Used properly — and safely — they are still extremely useful.

What they do:

• Help draft, brainstorm, outline and rewrite content at speed.
• Act as a "thinking partner" for issue-spotting and scenario testing, when you supply the law and facts.

Why lawyers should care:

In serious firms, general-purpose tools will increasingly sit behind secure front doors and policies, wrapped with firm-specific data and guardrails. Even if you never use a public model with client data, you need to understand what your clients already play with at home.