Best legal-ops tools
The lineup
- 1
Claude
ai-assistant9.5 /10 - 2
Harvey
legal-ai-assistant8.8 /10 - 3 L
Legora
legal-ai-assistant8.6 /10 - 4
Thomson Reuters CoCounsel
legal-ai-assistant8.6 /10 - 5
Spellbook
contract-ai8.5 /10 - 6
Ironclad
contract-lifecycle-management8.4 /10
An in-house legal ops team buying AI in 2026 is buying four jobs, not four logos: a horizontal assistant for everything that isn’t legal work, a contract system of record, a drafting surface inside Word, and a research layer whose citations survive a partner’s scrutiny. Six products cover those jobs. The list moved this year, and one entry moved because the product it named stopped existing.
What changed since the last version of this list
Casetext is gone. Thomson Reuters began redirecting casetext.com on February 1, 2025 and retired the standalone product on April 1, 2025. The technology survived — it ships as CoCounsel inside the Thomson Reuters stack, sold per attorney against Westlaw. If you were a Casetext subscriber, CoCounsel Legal is the migration path, not a coincidence: read Casetext for what it was and Thomson Reuters CoCounsel for what you can buy.
Ironclad stopped being a CLM with AI features attached. On March 19, 2026 it shipped Ironclad Assistant alongside Renewal, Cost Savings, and Archive agents, announced against a milestone of passing $200M ARR, and reported that more than 65% of its customers had turned the AI capabilities on. Adoption is the number that matters there — an AI module nobody enables is a line item, not a capability.
Legora became the second name on the enterprise shortlist. A $600M Series D — $550M led by Accel plus a $50M extension backed by Atlassian and NVIDIA’s NVentures — set its valuation at $5.6B, after crossing $100M ARR roughly 18 months from its first $1M. Two years ago the enterprise legal AI decision was Harvey or nothing.
1. Claude — the horizontal layer, and the first thing to buy
ooligo score: 9.5. Most of what a legal ops team does in a week is not legal research. It is summarizing a 90-page policy for a business owner, extracting renewal dates from a folder nobody has opened since 2023, answering the same six questions about the NDA playbook, and turning a matter intake spreadsheet into something a director can read. Claude’s 1M-token context handles whole-document work without retrieval scaffolding, and MCP plus Skills let you codify the recurring routines instead of re-prompting them.
Where it pulls ahead: breadth at $20–$25 a seat. Nothing else on this list is close on cost per useful task.
Where it loses: it is not grounded in a legal corpus. It will reason well about a case you paste in and it will not reliably tell you what the Ninth Circuit held. That job belongs to CoCounsel or Protégé.
Where to start: build three Skills — contract summarizer, clause extractor, policy Q&A — and point one MCP connector at your document store.
Full Claude review →
2. Ironclad — the contract system of record
ooligo score: 8.4. Every other tool on this list improves a document. Ironclad is the only one that fixes the thing legal ops actually gets blamed for: nobody can find the contract, and nobody knew the renewal was in eleven days. Drafting, negotiation, e-signature, repository, and obligation tracking sit in one workflow, and the 2026 agent release turned the repository from a search box into something that answers questions about the portfolio.
Where it pulls ahead: structured contract data. Ask “which vendor agreements auto-renew in Q4 and cap our liability below $1M” and get an answer rather than a folder.
Where it loses: cost and time-to-value. Implementation is a 3–6 month project, and below roughly ten legal staff the effort outruns the payoff — Juro or LinkSquares fit that scale better.
Where to start: migrate one contract type completely, usually vendor MSAs. Partial migrations produce two sources of truth, which is worse than one bad one.
Full Ironclad review →
3. Spellbook — drafting inside Word for a lean team
ooligo score: 8.5. Spellbook is the redlining and drafting add-in that runs where contracts already live. For a two-to-fifteen-lawyer department, it is the fastest path from “we should use AI” to a measurable change in cycle time, because nobody has to adopt a new place to work.
Where it pulls ahead: time to first value. A contract manager can be redlining against your playbook the afternoon the trial starts, and the vendor offers a 7-day trial to prove it.
Where it loses: it improves one document at a time. It will not tell you what is true across 4,000 of them, and it has no repository of its own.
Where to start: two contract managers, your playbook loaded, and a stopwatch on the next five MSA reviews measured against the last five.
Full Spellbook review →
4. Legora — the same job at enterprise scale
ooligo score: 8.6. Legora does what Spellbook does inside Word, then adds the thing Spellbook lacks: Tabular Review, which extracts structured clause data across thousands of documents at once. That is the diligence and portfolio-analysis workload, and it is why Legora shows up opposite Harvey in enterprise evaluations rather than opposite Spellbook.
Where it pulls ahead: a Word-native drafting surface and bulk clause extraction from one vendor, at roughly a fifth of Harvey’s per-seat entry rate.
Where it loses: the floor. A 10-seat minimum means a five-person team cannot buy it at any price.
Where to start: run Tabular Review against a real diligence set you have already done by hand. That comparison is the only honest benchmark.
Full Legora review →
5. Harvey — when the legal function is big enough to build on
ooligo score: 8.8. Harvey closed a $200M round at an $11B valuation on March 25, 2026, co-led by GIC and Sequoia, and reports 100,000+ lawyers across 1,300+ organizations in 60+ countries, including 500+ in-house teams. The relevant capability for legal ops is not the chat window — it is Agent Builder, which lets a non-engineer define a repeatable matter workflow, and the 25,000+ custom agents customers have already built on it.
Where it pulls ahead: it is a platform your team builds on, not a tool your team uses. If you have workflows worth encoding and the headcount to maintain them, nothing else here goes as deep.
Where it loses: price and minimums. Roughly 25-seat commitments and reported per-seat rates around $1,000–$2,000/month put it out of reach for most in-house departments.
Where to start: name the three workflows you would encode before the demo. If you cannot name three, buy Legora or Spellbook instead.
Full Harvey review →
6. Thomson Reuters CoCounsel — research you can defend
ooligo score: 8.6. This is the Casetext slot, filled by the product Casetext became. CoCounsel is grounded in Westlaw and Practical Law rather than the open web, which is the whole argument: a citation resolves to a real case with real treatment history, and Westlaw Advantage adds agentic research on top of that content.
Where it pulls ahead: defensibility. For anything headed to a regulator, a board, or opposing counsel, “grounded in Westlaw” is a sentence you can say out loud.
Where it loses: it is a Thomson Reuters purchase. Sold per attorney, packaged against Westlaw and Practical Law, quoted rather than listed, and priced accordingly. Teams without a research workload are paying for a library they do not open.
Where to start: if you already pay for Westlaw, this is an add-on conversation with a rep you already have. If you do not, price LexisNexis Protégé against it before signing.
Full CoCounsel review →
Pricing, side by side
Only two of the six publish a price. That is the single most important fact about this market, and it is why every number below carries its source type.
The spread from Claude to Harvey is roughly two orders of magnitude per seat. That is not a quality gradient — it is a scope gradient. Claude does not know case law; Harvey does not cost $20.
The pick
If you cannot decide, buy Claude and Spellbook. Together they run under $250/seat/month, they need no implementation project, and they cover the two things that consume a small legal ops team’s week: document work and first-pass redlining. Every other purchase on this list should follow evidence from those two, not precede it.
Then add by bottleneck, in this order:
What’s not on this list, and why
If none of these fit
The usual reason is scale: a one-or-two-person legal function cannot clear Ironclad’s implementation, Legora’s 10-seat floor, or Harvey’s minimum. That team’s correct stack is Claude plus a Word add-in plus a shared drive with a naming convention someone actually enforces, and the honest next step is not buying software — it is writing the NDA and MSA playbooks the software would have needed anyway. Come back when you have them; every tool here works better against a playbook, and three of them are unusable without one.