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Legal tool comparison

Legal AI tools compared by the job they do

Legal AI tools do at least four different jobs. Compare them by the job you are buying for rather than by a ranked list, and see which tools lead where.

Updated 21 Aug 2026

Definition

Most legal AI comparisons rank tools against each other as if they did the same job. They do not, and the ranking hides the only question that matters: which job are you buying for?

01

Why a ranked list is the wrong shape

A numbered list implies the tools are substitutes. Put a case-law research product and a document-analysis platform in the same ranking and the order says more about the author's business than about either tool.

This page is organised by job instead. Marella is one of the tools listed, in the one category where it belongs. In the other categories the specialist products lead, and we say so, because a comparison that always concludes in the author's favour is not a comparison.

  • Tools in different categories are not substitutes
  • The job decides which evidence matters
  • Marella appears in one category only
02

Research and case law

These tools answer questions about law outside your files. What matters is how much it covers, currency and jurisdictional coverage: whether the authority is there, and whether it is current.

Thomson Reuters CoCounsel and Lexis+ are built on established legal publishing corpora and lead here on that basis: CoCounsel states it reasons from Westlaw primary law and Practical Law guidance, and Lexis+ from the LexisNexis collection of case law, statutes and secondary sources, with citation validation through Shepard's. Harvey and Legora both cover research and drafting, for law firms and in-house teams alike. If your question is "what does the law say", this is the category, and a general document platform is not a substitute for a licensed legal document set.

  • How much it covers, currency, jurisdiction
  • CoCounsel: Westlaw and Practical Law
  • Lexis+: LexisNexis collection, Shepard's validation
  • Harvey and Legora: research and drafting workflows
  • A general platform is not a substitute here
03

Drafting and clause generation

Drafting tools produce new wording and check it against a playbook or precedent bank. Value comes from the precedent library and from fitting the way the drafter already works, which usually means sitting inside Word.

Spellbook works directly in Word and encodes a firm's standards as playbooks. Luminance covers drafting, review and negotiation, with its review step also running inside Word. LEAP embeds AI in its practice-management suite (matter questions, document drafting and a research assistant), which matters more than model quality if the firm already runs on that system.

  • Precedent library and playbook fit
  • Spellbook: Word-native, playbook-driven
  • Luminance: drafting, review and negotiation
  • LEAP: embedded in practice management
04

Analysis across a document estate

This is a different job: answering questions across documents your organisation already holds, where the evidence must be traceable to the passage and the estate may be too sensitive to send to a shared service.

Marella sits here. It answers over a document set built for the client, cites to the exact passage with the source opened and the passage marked, runs as a single-tenant deployment with per-matter scopes, and fact-checks answers against their sources after generation. It is not legal-specific: there is no case-law documents, no legal precedent bank and no practice-management integration. For research or drafting, the tools above are the better purchase.

  • Questions over your own estate
  • Citation to the exact passage
  • Single-tenant deployment, per-matter scopes
  • No case-law document set or precedent bank
05

What to compare once you know the job

Within a category the differences that survive contact with procurement are narrower than the feature grids suggest. Ask where data is processed and by which parties, whether access is enforced at retrieval, what the tool does when the answer is not in the document set, and what evidence exists for any accuracy claim.

Then run the same questions through the shortlist on your own documents. Vendor benchmarks are run on corpora chosen to succeed and rarely transfer.

  • Processing parties and locations
  • Access enforcement at retrieval
  • Behaviour when no answer exists
  • Evidence behind any accuracy figure

Legal-specialist tools and private document platforms

A category-level contrast. Individual products vary and vendor terms change, so verify current capability directly.

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What this page does not prove

  1. B1Capabilities described here were checked against each vendor's own public material on 11 August 2026 and change without notice, so verify current capability directly.
  2. B2We state no pricing for any product, including Marella.
  3. B3Marella is not a legal-specific tool and holds no case-law document set.
  4. B4Inclusion is not endorsement, and this page is not a substitute for your own evaluation.

Frequently asked questions

What is the best legal AI tool?

There is no single best tool, because the category contains at least four different jobs. For case-law research the publisher-backed products lead; for drafting, the Word-native and playbook tools; for analysis across your own document estate, a private document platform. Decide the job first, then shortlist within that category.

Which AI is best for legal research?

Tools built on licensed legal publishing corpora, because research quality depends on whether the authority is present and current. A general-purpose document platform has no case-law document set and is not a substitute for one.

Do legal AI tools work on a firm's own documents?

Some do and some do not, and the distinction is often unclear from marketing material. Ask whether the tool indexes your documents or only the vendor's documents, where that index is held, and whether access is enforced when passages are retrieved.

Test the claim on your documents

Pick a real piece of work, agree what a good answer looks like, then go through the results together.