Best Legal AI for Litigation Drafting 2026

Irys is built around the matter, not the chat window. Research runs across more than 50 million cases, briefs are drafted with tracked changes inside Microsoft Word, discovery is reviewed across document sets, and every matter keeps its context for the life of the case. For litigation drafting, that combination is the point: the work product, the record, and the citations stay in one place.

Pricing is one number, $299 per seat per month, with no seat minimum and a 14-day free trial. About 80% of processing runs on Irys infrastructure before any model is called, client data is never used for training, and the platform carries SOC 2, ISO 27001, and HIPAA.

CoCounsel, now part of Thomson Reuters, drafts from Practical Law templates and your own precedents directly in Word, identifies the components of a complaint, builds chronologies, and reviews thousands of documents in a table. Its answers are grounded in Westlaw and Practical Law content, which gives outputs a trusted, citable base.

The catch is access. There is no transparent standalone price, the affordable Casetext standalone at about $225 a month was retired in March 2025, and firms now move through a configurator or a sales quote. Work is organized into projects and sessions rather than persistent cross-matter memory.

Harvey is a credible enterprise platform. For litigation it offers case assessment, chronology building, discovery review, deposition-transcript analysis, and first drafts of pleadings, motions, briefs, and deposition outlines, with cite-checking through a LexisNexis partnership. Its Word add-in and security posture, including SOC 2 Type II and ISO 27001, 27701, and 42001, are strong.

Harvey is enterprise-only. There is no public pricing, no self-serve sign-up, and no free trial; evaluation runs through a demo and, by multiple reports, a substantial seat minimum. A circulated 0.2% hallucination figure is a Harvey internal claim, not an independent result, and Harvey was not part of the Stanford study.

Lexis+ AI, now Lexis+ with Protege, grounds answers in LexisNexis primary and secondary law and cross-checks every cited authority against Shepard's, with a citation agent that confirms a source exists. In the Stanford RegLab study it was the strongest tool tested, hallucinating on more than 17% of queries and accurate about 65% of the time. Litigation workflows cover motions to dismiss, discovery and deposition documents, and complaint generation.

Pricing is quote-only, with no published number or seat minimum, and the Word drafting experience lives in a separate product, Lexis Create+, rather than one unified tool.

Legora, formerly Leya, organizes work into matter folders and is strong on document-heavy litigation: high-volume discovery intake, a Tabular Review that turns a document set into an interactive grid, evidence search during hearings, and review of decisions and motions for citations. Its Word add-in drafts arguments and applies tracked changes, and its security posture is broad, with SOC 2 Type 2, ISO 27001:2022, and ISO 42001.

Commercials are fully sales-gated. There is no public pricing, no free tier, and no self-serve trial, so a firm cannot budget or evaluate without a sales conversation.

Westlaw Advantage with CoCounsel grounds AI-Assisted Research in Thomson Reuters' attorney-edited content, with inline citations and KeyCite validity flags. For litigation it adds Deep Research, a Litigation Document Analyzer that suggests counterarguments to an opposing motion, and a Hallucination Checker; drafting happens in Word through CoCounsel. Pricing is partly public, from about $256.75 to $399.75 a month for firms of ten attorneys or fewer.

The independent caution is accuracy. In the Stanford study, Westlaw's AI-Assisted Research hallucinated on more than 34% of queries and was accurate only about 42% of the time, the weakest rate among tools tested.

GC AI is built for in-house teams and runs a genuinely native Word sidebar. Its standout feature for drafting is Exact Quote, character-level citations that link back to the precise spot in a source document, which makes brief and memo drafting easy to verify. Pricing is published at $500 per seat per month with a 14-day trial.

It is not a litigation specialist. There is no dedicated e-discovery, deposition-prep, or case-law cite-check module, and it has essentially no independent validation yet, with no G2 or Capterra review base and no benchmark coverage.

Paxton is matter-aware in the literal sense: a matter is the container for every chat, document, and chronology. For litigation it drafts motions, briefs, and memos, builds medical chronologies and billing summaries, summarizes depositions and discovery, and runs an AI Citator that gives a good-law or use-caution read on a cited case. Pricing is public at $499 per user per month, or $2,999 per year.

Its accuracy figure of about 94% is a vendor self-test against a separate Stanford benchmark dataset, not the independent RegLab tool study, and its Word integration is not confirmed in its own documentation.

Clearbrief is a Microsoft Word add-in built for the exact risk this guide is about. It reads a finished draft, detects every legal and factual citation, scores how well each sentence matches its source, and flags fabricated or mis-cited cases before a brief is filed, then hyperlinks the sources and auto-builds a Table of Authorities and timelines.

It is a verification and finishing layer rather than a drafter or a research corpus, so it complements a drafting tool rather than replacing one. Pricing is published for solos at $300 per user per month, with enterprise on a quote, and it carries SOC 2 Type 2.

Spellbook is a leading AI inside Word, but it is built for transactional work. It drafts, reviews, and redlines contracts against your playbooks and clause library, with a strong security posture, including SOC 2 Type II and HIPAA business associate agreements. It is included here because it appears in many legal-AI roundups, and the honest read for litigation is direct.

Spellbook does not do litigation. There is no motion or brief drafting, no discovery or deposition tooling, and no case-law research or cite-checking; its own materials tell users to verify every legal conclusion.

Claude with Projects is a capable general drafter. A Project acts like a matter folder: upload the record and Claude grounds its writing on those files, which helps on fact-heavy first drafts. Pricing is transparent, with a free tier and Pro around $17 to $20 a month.

It does not validate legal citations. Claude grounds on your uploaded documents, not on a vetted case-law database, so any external authority it cites must be checked. General-purpose models in the Stanford study hallucinated on 58% to 82% of legal queries, and there is no Word add-in.

Briefpoint does one litigation job well: it drafts and responds to discovery, including interrogatories, requests for production, and requests for admission, formatted and delivered as Word documents. For a litigator buried in discovery, that focus is the point.

Its scope stops there. There is no motion or brief drafting, no legal research or cite-checking, and no public pricing, trial terms, or security certifications on its site.

Mike is a free, open-source legal AI from a former Latham associate. It drafts, edits, and reviews documents, runs bulk tabular review, and can verify case law through an optional CourtListener integration. You pay only for your own model usage, and you can self-host the whole thing.

It is developer-oriented. It requires technical self-hosting and your own API keys, carries no security certifications, and its own creator concedes it lacks the case-law database depth that serious litigation work needs.

ChatGPT is the most fluent general drafter and the cheapest, with a free tier and Plus at $20 a month. It writes and edits prose, outlines arguments, and restructures text quickly, which is useful at the very first-draft stage.

For litigation it carries the highest risk on this page. It does not verify legal citations against any law database, has no court-formatting templates, and no discovery workflow. In the Stanford study, general-purpose models hallucinated on 58% to 82% of legal queries, the source of the sanctions cases litigators now read about.