Best AI Document Review Tools for Law Firms (2026)

The eDiscovery market is now worth between $15 billion and $19 billion, growing at roughly 10 percent per year. The volume of electronically stored information is outpacing what human reviewers can handle. The tools you choose now determine both the quality and the cost of your litigation.

What makes 2026 different is agentic AI. These are not chatbots or batch-processing models. They are autonomous systems that execute entire document review workflows with minimal human input. As Bob Ambrogi of LawNext observed, 2025 was “the moment when AI moved from experimental novelty to operational necessity.” HSF Kramer predicts 2026 will be the “breakout year” for agentic AI in law, where “agentic systems go further, automating not just tasks, but entire workflows.”

Yet adoption remains low. According to eDiscovery Today’s 2025 State of the Industry Report, surveying 551 legal professionals, only 12 percent use generative AI in most of their cases. A full 64 percent use it in few or none. The technology is ready. Most of the profession is not. The gap is widest at small and mid-size firms, where the best AI tools are still priced for enterprise budgets.

This comparison was researched and written by the Hintyr team. We include ourselves in the analysis and hold ourselves to the same standard applied to every platform reviewed.

This guide is an attempt to cut through that disconnect. What follows is a data-driven comparison of the leading AI document review platforms available in 2026, evaluated on the criteria that matter most: capability, pricing transparency, ease of adoption, and suitability for firms that do not have a dedicated litigation support department.

The 2026 Market Landscape

Vendor-reported results from platforms like DISCO and Everlaw show GenAI-powered document review achieving recall (the percentage of relevant documents successfully identified) above 90 percent, compared to the 60 to 75 percent range for human manual review documented in earlier TREC Legal Track studies. Major firms have reported significant cost savings using generative AI for first-pass review. These are not marginal improvements. They represent a fundamental shift in the economics of litigation.

Pricing models across the industry are adjusting, though not uniformly. Traditional per-gigabyte billing is becoming what Venio Systems’ 2026 analysis calls “strategically obsolete,” because it penalizes firms for comprehensively reviewing modern data types such as Teams chats, Slack messages, and mobile communications. The competitive zone for GenAI-assisted review has settled between $0.11 and $0.50 per document. Relativity and Everlaw have responded by bundling their AI tools into standard pricing, while the Venio analysis warns bluntly: “By 2026, any platform that charges extra for AI will be seen as a dinosaur.”

For small and mid-size firms, the landscape presents both promise and frustration. AI adoption among smaller practices lags significantly behind larger firms, according to industry surveys from Lighthouse and others. Cloud SaaS platforms are beginning to open access, but the most capable AI features remain packaged for enterprise budgets.

Consolidation is also reshaping the market. Clio’s $1 billion acquisition of vLex (announced June 2025) and Reveal’s combined acquisition of Logikcull and IPRO for more than $1 billion (August 2023) have redrawn competitive boundaries. If you are evaluating platforms today, keep in mind: the vendor you choose this year may not be the same company in two years.

How We Evaluated These Platforms

We evaluated six platforms across four dimensions:

• Pricing model and transparency -- published rates versus sales-call-required
• AI capabilities -- natural language search, agentic workflows, and Technology-Assisted Review (TAR)
• Learning curve -- usability for attorneys who are not eDiscovery specialists
• Suitability for smaller firms -- cost thresholds, onboarding complexity, and specialist requirements

Our analysis draws on verified user reviews from G2, Capterra, Software Advice, and Gartner Peer Insights, along with eDiscovery Today’s 2025 State of the Industry Report, Venio Systems’ pricing analysis, and each platform’s official documentation.

Feature Comparison

Relativity

The Enterprise Standard

Relativity is the de facto standard in eDiscovery. With over 300,000 users across roughly 40 countries and a presence in 198 of the Am Law 200, it occupies the center of the legal technology ecosystem in a way no competitor matches. Backed by a $3.6 billion valuation from Silver Lake’s 2021 investment, Relativity offers the most comprehensive feature set available.

The pricing model revolves around per-GB data fees, adopted in August 2022 when Relativity eliminated per-seat licensing for RelativityOne. Firms can choose between pay-as-you-go, one-year flex commits (up to 25 percent discount), or three-year subscriptions. A minimum monthly fee of $2,500 per Standard Workspace applies. None of these rates are publicly listed; the pricing page redirects to a sales conversation.

Where Relativity justifies its premium is in AI capabilities. In October 2025, the company bundled its aiR for Review and aiR for Privilege into all RelativityOne subscriptions at no additional charge. The aiR suite can process up to 3 million documents per day, and over 200 customers have reviewed more than 25 million documents.

The platform also includes TAR 1.0 and 2.0, native audio/video transcription, AI-powered PII detection, and cloud collection integrating with Microsoft 365, Google Workspace, and Slack. Beyond the product, Relativity offers an entire ecosystem: an app marketplace, the Certified Admin program, Relativity Fest, and a global community of specialists.

The criticism patterns in user reviews are consistent. The steep learning curve is the most cited issue. One G2 reviewer described Relativity as “a beast of a program” that “can sometimes seem very overwhelming because it is so large and has so many uses/options.” A Software Advice reviewer added: “Relativity is not at all intuitive. Especially from the administrator perspective.” Performance issues rank second among complaints, with reports of sluggish search loading with large datasets. Cost concerns round out the top three: “The price is the only real drawback to Relativity as it costs significantly more than many other eDiscovery platforms,” wrote one Capterra reviewer.

The verdict: Relativity is the right choice for Am Law 100 firms, large corporate legal departments, and government agencies that need the deepest feature set and have the budget and in-house expertise to use it properly. For small and mid-size firms, the combination of opaque pricing, a $2,500 monthly minimum, and a learning curve that demands trained specialists makes it a poor fit.

Everlaw

The Cloud-Native Challenger

Everlaw has positioned itself as the modern alternative to Relativity. Valued at $2 billion, the cloud-native platform serves 91 of the Am Law 200 and all 50 state attorneys general. That government adoption is a meaningful trust signal: government procurement is notoriously rigorous, and passing that bar 50 times is not trivial.

Pricing follows a per-GB-per-month model with unlimited users and no separate charges for processing, productions, or training. In October 2025, Everlaw included Writing Assistant, Deposition Analyzer, and Single Document Review Assistant at no extra cost, along with a 40 percent price reduction on batch AI actions. Despite marketing around “transparent pricing,” actual per-GB rates require a sales conversation.

The platform’s flagship AI capability is EverlawAI Deep Dive, which enables natural language queries across entire document collections using Retrieval-Augmented Generation (RAG). The broader AI toolkit includes TAR 1.0 and 2.0, GenAI-powered Coding Suggestions for first-pass review, and audio/video transcription with searchable timestamps. Cloud integrations cover Box, Google Drive, Dropbox, OneDrive, SharePoint, Slack, and iManage. StoryBuilder enables collaborative case narratives and chronologies, a genuine differentiator that no competitor currently matches.

User complaints follow recognizable patterns. One Software Advice reviewer was direct: “Search functions are kind of finicky using booleans, and the native viewer for MS Office documents is very flawed. Spreadsheets often fail to open at all.” A notable billing issue involves production-induced GB inflation: after running a production, both the original documents and produced copies count toward the billed total. One Capterra reviewer explained that a 1 GB dataset generating a 1.5 GB production resulted in a bill for 2.5 GB. Cost remains a barrier for smaller practices.

The verdict: Everlaw is a strong choice for mid-to-large law firms and government agencies that want modern AI capabilities with a more approachable interface than Relativity. For small firms, the pricing remains prohibitive, the learning curve is steeper than marketing suggests, and the cloud-only model rules it out for organizations with on-premise requirements.

DISCO

AI-Forward eDiscovery

DISCO (NYSE: LAW) has invested heavily in AI and it shows. Its Cecilia AI suite is one of the most comprehensive GenAI offerings in eDiscovery, enabling natural language Q&A across entire case databases, auto-generated timelines, document summaries, and deposition analysis. The standout feature is Auto Review, which processes 25,000 to 32,000 documents per hour with precision and recall above 90 percent.

In February 2026, DISCO launched what it calls the industry’s first scaled agentic AI tool, an autonomous reasoning engine built into Cecilia. The platform supports TAR 1.0 and 2.0 with cross-matter model transfer, letting firms apply learning from previous cases to new ones. All AI tools are bundled into a single per-GB price with no separate add-on fees.

On the criticism side, reviewers flag search granularity as an area for improvement. One Capterra reviewer noted: “The search functions are a bit convoluted. Searching within an assigned batch is not as comprehensive as searching the entire database.” Linear review suffers from a roughly three-second delay when loading each document, including the coding panel and metadata. G2 rates DISCO’s Legal Hold capability at 7.2 out of 10, behind competitors scoring 8.6 to 8.7. Cloud integrations are limited to Microsoft 365 and Slack, with no native support for Dropbox, Box, or Google Drive.

Pricing follows an all-inclusive, flat-rate per-GB model with no separate charges for ingestion, processing, or users. A $500 monthly minimum applies. Specific per-GB rates are not publicly listed.

The verdict: DISCO offers one of the strongest AI toolsets in the market, with genuine agentic capabilities and attorney-friendly design that does not require a dedicated specialist. Evaluate search granularity and linear review performance with your own data before committing, and confirm the per-GB model works for your typical data volumes.

Logikcull

Simplicity Tested by Acquisition

Logikcull built its reputation as the self-service eDiscovery tool that anyone could use without specialized training. That positioning attracted 38,000 users across more than 1,500 legal teams. Then Reveal acquired it in August 2023, as part of a combined $1 billion-plus deal that also included IPRO, and the experience changed.

On paper, the product gained capabilities. The acquisition brought ASK, a GenAI engine that enables natural language queries with cited answers (available on subscription plans only). The platform offers TAR 2.0 (Suggested Tags), more than 300 automated processing steps, A/V transcription, Bates stamping with reusable templates, and PII detection using Amazon Comprehend. Cloud integrations span Microsoft 365, Google Workspace, Slack, Box, and Dropbox. For routine matters, the feature set is solid.

The post-acquisition friction, however, is the dominant complaint pattern. A Capterra reviewer wrote: “Used to be great... until Logikcull was acquired by Reveal. Reveal changed its internal billing policies to capitalize on any mistakes its customers may make in setting up projects. My firm used Logikcull for five years, but just terminated its relationship.” The official billing FAQ confirms the rigidity: “Proration exceptions will not be made for partial months or failure to delete data before the end of a billing period.” Pricing is no longer publicly listed; the page now redirects to “Talk to Sales.”

The verdict: Logikcull remains capable for routine, moderate-complexity matters where self-service simplicity matters more than advanced AI. But the acquisition has eroded the two qualities that made it distinctive: pricing transparency and customer-friendly billing. Firms should evaluate carefully whether the post-acquisition product still meets their original criteria.

GoldFynch

Budget-Friendly, AI-Free by Choice

GoldFynch is the pricing transparency champion of eDiscovery. In a market where virtually every competitor hides rates behind sales gates, GoldFynch publishes every plan on its website. Plans start at $27/month for 3 GB and scale to $5.50/GB at 100+ GB. A fully functional free trial offers 512 MB for 90 days. Unlimited collaborators are included at every tier. Government agencies and nonprofits get a 10 percent discount. One Capterra reviewer captured the value: “I convinced my firm to switch to GoldFynch because there’s nothing else that has the features we need at this price-point. I bet we saved about $15,000 last year on eDiscovery costs.”

The feature set covers the fundamentals competently: automatic OCR, NLP-based entity extraction, Boolean and proximity search, Bates stamping, custodian management, manual redaction, and production wizards. User complaints are notably mild compared to enterprise competitors, mostly centering on requests for a multi-screen document viewer and improvements to search usability.

What GoldFynch lacks is significant. There is no TAR or predictive coding. No AI-powered search. No agentic workflows. No audio transcription. No video or image analysis. No AI-powered redaction. Cloud integrations are indirect: users must download files and drag-and-drop them into GoldFynch. The company has published content arguing that AI is “overkill” for small firms. For practices handling simple document sets where manual search and basic tagging are sufficient, GoldFynch remains the strongest value in the market.

The verdict: GoldFynch is the right tool for small firms handling routine matters who prioritize cost control and pricing honesty above all else. It is the most affordable serious option available. Firms choosing GoldFynch should assess whether the absence of AI capabilities will limit them as their practice grows and as AI-powered review becomes the expected standard.

Hintyr enters the market with a positioning that is both deliberate and distinct: it's an eDiscovery platform built from the ground up around agentic AI. Where incumbents added AI capabilities on top of legacy architectures, Hintyr built its platform around the agentic model from day one.

You can collect documents through cloud integrations (Google Drive, OneDrive, Dropbox, Box) or have clients upload directly through a dedicated client portal, then review with AI-powered workflows, and produce Bates-stamped document sets, all within a single platform. Every pricing tier includes the full feature set, and the platform is HIPAA compliant.

What sets Hintyr apart is the depth of its AI system. The platform operates as an autonomous agent capable of planning and executing multi-step research workflows. When an attorney asks a question, the system generates a structured research brief, classifies the query type, and runs multiple iterations of search, analysis, and synthesis with progressive refinement.

The AI doesn't just match keywords. It reasons across the document set, weighing evidence against counter-evidence and citing every factual claim with verifiable document references. A built-in verification pipeline checks that citations actually support the conclusions drawn.

The platform processes documents across all modalities. Images receive AI-generated visual descriptions beyond simple OCR, enabling searches like “show me photos of the building damage.” Videos are segmented into 30-second chunks, each with its own description and transcript. Audio files are fully transcribed. All modalities are searchable through the same natural language interface, meaning a single query can surface a relevant email, a photograph, and a recorded conversation at the same time.

Hintyr’s redaction goes beyond traditional PII pattern matching. The agentic redaction system reasons about what should be redacted based on context, including privilege and regulatory requirements, not just Social Security numbers and phone numbers. Attorneys can issue a natural language instruction, and the agent will identify relevant documents and suggest redactions for batch review. The platform also builds institutional knowledge over time. Key findings persist across sessions, and the system learns your preferences as the review progresses.

On pricing, Hintyr is, among the platforms reviewed here, the only AI-powered tool that publishes its rates openly. The Growth tier starts at $150/month with 1 GB of included storage and one seat. The Business tier provides 8 GB and five seats at $750/month. Enterprise pricing is custom with volume discounts for larger matters.

Where Hintyr falls short. Hintyr is a new entrant in a market where Relativity has operated for two decades. Its user base is small compared to established platforms, which means fewer community resources and fewer third-party consultants familiar with the tool. Hintyr does not hold SOC 2 Type II certification, a compliance benchmark that Relativity, Everlaw, and DISCO have earned. There is no free trial; GoldFynch offers 90 days at no cost. And unlike traditional TAR tools with years of judicial validation, Hintyr’s agentic AI review has no published court opinion endorsing its specific implementation.

The verdict: Hintyr targets litigation-focused firms with 1 to 50 attorneys, delivering full eDiscovery capabilities powered by agentic AI at transparent pricing. Its autonomous research pipeline and context-aware redaction make it the only platform in this comparison that pairs agentic AI with published pricing. For firms frustrated by opaque pricing and priced out of enterprise AI, it is worth serious consideration.

How to Choose the Right Tool

Large Firms (100+ Attorneys)

Relativity and Everlaw are the established leaders for good reason. Relativity offers the deepest feature set, processing up to three million documents per day with aiR, and its ecosystem of integrations and certified specialists is unmatched. Everlaw’s cloud-native architecture and Deep Dive search make it a strong alternative, particularly for firms migrating away from on-premise infrastructure. Both platforms require meaningful onboarding investment.

Mid-Size Firms (20-100 Attorneys)

This is where the decision gets nuanced. Everlaw remains a strong option if your matters are large enough to justify per-GB costs. DISCO offers compelling all-inclusive AI with Cecilia and strong document throughput. For firms on the smaller end of this range, particularly those with 20 to 50 attorneys, Hintyr warrants consideration at $150/month with full agentic AI capabilities included.

Small Firms and Solo Practices (1-20 Attorneys)

The central question is whether you need AI-powered review. If your practice involves routine document sets with modest volumes, GoldFynch is hard to beat at $27/month with fully transparent pricing and unlimited users. But if your matters involve large productions, audio or video evidence, or privilege review that demands consistency, GoldFynch’s absence of AI becomes a real limitation. Hintyr fills that gap with natural language search, agentic redaction, TAR, and audio transcription, all available from the $150 starting tier.

No matter your firm size, request a live demo with your own data before committing. Feature lists tell you what a platform can do in theory; a hands-on test tells you whether your team will actually use it.

Frequently Asked Questions

What is AI document review?

AI document review uses artificial intelligence to help attorneys analyze, categorize, and make decisions about large sets of documents during litigation. Modern tools go beyond keyword search: they understand natural language queries, classify documents for relevance or privilege, identify personally identifiable information for redaction, and transcribe audio or video evidence. Technology-Assisted Review (TAR) uses machine learning to predict document classifications based on attorney-coded samples. Generative AI review goes further, using large language models to read, reason about, and summarize document content.

Can small law firms afford AI-powered document review?

Yes, though the options vary. Enterprise platforms like Relativity and Everlaw carry minimum spends of $250 to $2,500 per month and require sales conversations to learn exact pricing. GoldFynch starts at $27/month but does not include AI features. Hintyr starts at $150/month with all AI capabilities included. DISCO bundles everything into per-GB pricing but imposes a $500 monthly minimum. The industry trend is toward bundling AI into base pricing rather than charging separately, but transparency remains uneven.

Do I need a specialist to use these tools?

It depends on the platform. Relativity and Everlaw carry steep learning curves; many firms using Relativity employ dedicated litigation support analysts or outside consultants. DISCO is generally more attorney-friendly. GoldFynch and Hintyr are designed for attorneys to use directly without specialist support. Keep in mind that the complexity of document review is not only in the software interface; it also involves defining search terms with opposing counsel, negotiating TAR protocols, and documenting the review process for defensibility.

What is agentic AI in document review?

Agentic AI refers to AI systems that independently execute multi-step review tasks rather than simply responding to single prompts. In document review, an agentic system can receive a review protocol, apply it across thousands of documents, flag issues, and refine its approach based on results, all with minimal human intervention between steps. As of 2026, Hintyr and DISCO are the only platforms in this comparison offering agentic AI capabilities.

What is the difference between TAR and generative AI review?

Technology-Assisted Review (TAR) uses machine learning trained on human-coded samples to predict which documents are relevant. It works best with binary decisions like relevant or not relevant. Generative AI review uses large language models to read documents, apply nuanced review criteria, and produce explanations for each decision. TAR has extensive court validation. Generative AI is more flexible but newer. Most modern platforms now offer both approaches.

Is AI-assisted document review defensible in court?

Yes, with caveats. Courts have accepted technology-assisted review since Da Silva Moore v. Publicis Groupe (2012) and Rio Tinto PLC v. Vale S.A. (2015). The Sedona Conference has published detailed guidelines supporting its use. Generative AI review, however, lacks equivalent case law. Your best protection is rigorous documentation: maintain audit trails, run statistical validation, and keep human reviewers in the loop.

How much does eDiscovery software cost in 2026?

Pricing varies widely. GoldFynch starts at $27 per month for small cases with no AI. Hintyr starts at $150 per month with all AI features included. DISCO imposes a $500 monthly minimum. Everlaw and Relativity typically range from $250 to $2,500 per month depending on data volume and features. Most platforms also charge per-gigabyte hosting fees, so your total cost depends on case size.

Final Verdict

Two patterns define this market in 2026. First, platforms built over the past decade accumulated complexity to serve their largest clients, creating software that demands specialists and training budgets most firms can’t justify. Second, pricing transparency remains rare. Among the six platforms reviewed here, only Hintyr and GoldFynch publish their rates. GoldFynch skipped AI entirely. The result: smaller firms can’t access AI-powered review because the tools that include it are still packaged for enterprise budgets.

Among the platforms reviewed here, Hintyr is the only one that addresses both problems at once. It delivers full eDiscovery capabilities with agentic AI at publicly listed pricing starting at $150/month. It’s a younger platform than the rest, and firms considering it should weigh that against the longer track records of established players.

The market direction is clear. AI is becoming a baseline expectation, not a premium add-on. Pricing transparency is shifting from differentiator to requirement. If your firm handles litigation and you want agentic AI without an enterprise sales cycle, Hintyr is the strongest fit in this comparison.