Best legal-ops tools

The AI stack a modern in-house legal ops team actually deploys — research, drafting, contract lifecycle, and the horizontal AI layer underneath. Five picks, ranked by leverage.

1. Harvey — the legal AI workhorse

Harvey is the legal-domain AI assistant trusted by Am Law firms and increasingly by sophisticated in-house teams. Trained on legal corpora, structured for matter management, with strong workflow integrations. ooligo score: 9.1.

What it replaces: outside counsel hours on first-pass research and drafting, the 2 a.m. associate work that nobody should do anyway.

Where to start: pick one matter type (NDAs, employment, vendor MSAs) and route the first-draft work through Harvey for 30 days. Measure cycle time.

Full Harvey review →

2. Spellbook — AI in Word for contract drafting

Spellbook is the AI redlining and drafting copilot inside Microsoft Word, where contracts actually live. Faster path to value than full CLM rip-and-replace. ooligo score: 8.7.

What it replaces: the 6-hour first markup of a vendor MSA, the playbook lookup that takes 20 minutes per clause.

Where to start: install Spellbook for two contract managers. Give them your playbook. Time the next five MSA reviews against the last five.

Full Spellbook review →

3. Casetext — AI legal research

Casetext (Co-Counsel) is the AI legal research platform with verified citations and matter-aware querying. The cleanest answer to “which case said what” without hallucination. ooligo score: 8.8.

What it replaces: Westlaw research time at 2x speed, the junior-associate summarization work, ad-hoc ChatGPT-for-law (which hallucinates citations).

Where to start: route the next litigation hold or research memo through Casetext alongside your existing tool. Compare quality and time.

Full Casetext review →

4. Claude — the horizontal AI layer

Claude is the assistant your legal ops team should standardize on for everything that isn’t pure legal research. Long context (1M tokens) makes whole-contract review trivial. ooligo score: 9.5.

What it replaces: ad-hoc ChatGPT, scattered prompts, the document-comparison work that used to eat afternoons.

Where to start: build 3 Skills — contract-summarizer, clause-extractor, policy-Q-and-A. Pair with MCP access to your DMS for grounded answers.

Full Claude review →

5. Ironclad — the CLM with serious AI

Ironclad is the CLM platform that has invested most credibly in AI (Ironclad AI Assist, AI Repository). For mid-market and enterprise legal teams, it’s the right backbone. ooligo score: 8.9.

What it replaces: SharePoint contract folders, the spreadsheet of renewal dates that someone forgot to update, the manual obligation tracking work.

Where to start: migrate one contract type fully (vendor MSAs is usually best). Don’t try to boil the ocean — get one type live, then expand.

Full Ironclad review →

What’s not on this list (and why)

• LexisNexis Protege, Thomson Reuters CoCounsel — strong incumbents with credible AI, but Harvey + Casetext beat them on velocity for in-house teams.
• LinkSquares, Juro, ContractPodAI — viable CLMs, but Ironclad’s AI investment is currently ahead.
• Generic ChatGPT for legal — never. Legal hallucinations cost real money. Use a domain-grounded tool.

The minimum viable AI legal ops stack

If you want to start with two:

1. Claude (horizontal assistant + long-context document work)
2. Ironclad or Spellbook (depending on whether your bottleneck is repository or drafting)

Add Harvey when you’re outsourcing more than $500K/year to outside counsel. Add Casetext when in-house research becomes a real workload.