Need recommendations for AI contract review software

Apps
1

I’m looking for AI contract review software that can reliably flag risky clauses, suggest edits, and integrate with tools like Word or Google Docs. I’ve tried a couple of platforms, but they either miss important issues or are too hard for my team to use. What tools are you using, and what’s worked (or not) for you for fast, accurate contract reviews?

2

I’ve been testing a bunch of these for our small legal team. Quick rundown based on your needs.

  1. Lexis+ AI / Lexis Create
    • Strong at spotting risky clauses in NDAs, MSAs, DPAs.
    • Good for U.S. law heavy contracts.
    • Has Word add‑in. You review inside Word, see issues, get clause suggestions.
    • Strong on indemnity, limitation of liability, IP ownership, data protection.
    • Weak spot: needs clear playbook prompts. If you don’t tell it “flag auto‑renew longer than 1 year” it sometimes skips.

  2. Microsoft Copilot for Word + a good prompt template
    • If your org has Microsoft 365 E5 or Copilot, this is cheap to try.
    • You can ask: “List clauses with uncapped indemnity, unilateral termination, auto‑renew, broad IP assignment, governing law outside NY/DE/CA, etc.”
    • Works ok for spotting red flags, less reliable for giving market‑standard language unless you provide a clause bank.
    • No deep contract playbook built in. You build the logic in your prompts.

  3. Ironclad AI / SpotDraft / Juro / LinkSquares
    • These sit closer to CLM tools, but the AI review is decent.
    • Best if you standardize on templates and want to check if third‑party paper deviates.
    • Flag deviations from your fallback clauses better than generic “risk score” tools.
    • Word integration is usually via plugin or export to Word. Check each vendor’s add‑in support.

  4. LegalOn
    • More template‑driven, focuses on risk flags for common contracts.
    • Good dashboard of issues with rationales.
    • Has strong playbooks for some jurisdictions, but thin for niche industries.

  5. Plain “LLM + your playbook” approach
    • If your main complaint is “they miss important issues”, the core problem might be lack of a very explicit policy.
    • Write a 1–2 page playbook:
    – Business terms: liability cap multiple, auto‑renew limits, payment terms, SOW structure.
    – Legal no‑gos: uncapped indemnity, unilateral modifications, no audit rights, governing law you refuse.
    – Data/security requirements.
    • Then prompt your AI tool with something like:
    “You are reviewing on behalf of a SaaS vendor. Use this policy. Output a table: clause, issue, reason, suggested edit.”
    • Most tools get much stronger once you do this.

What I would try in your shoes:

  1. If you need tight Word integration, start with Lexis Create or a CLM plugin that has a Word add‑in.
  2. Build a basic checklist and test each tool on the same 3–5 contracts you already know are messy. Track:
    – How many key issues it finds.
    – How good its suggested edits are.
    – How fast your review time drops.
  3. Whichever hits at least 70–80 percent of your known issues and does not break formatting in Word is your short‑list.

Keep a human in the loop for:
• Indemnity.
• Liability cap and exclusions.
• Data protection and security schedules.
• Any non‑standard rev share or pricing.

If you share what kind of contracts you handle most (SaaS, vendor, employment, M&A) and your jurisdiction, people here can name more specific tools that fit that niche.

3

Adding on to what @viajeroceleste said, I’d look at this from a slightly different angle: integration and governance first, “AI magic” second.

If your must‑haves are (1) flag risky stuff, (2) suggest edits, (3) live inside Word/Docs, here are a few that tend to punch above their weight:

  1. Clause‑focused plugins in Word / Docs

    • Check tools like Harvey, Spellbook (by Rally), and LegalOn’s Word add‑ins specifically.
    • They’re better if you want: “Highlight all limitation of liability, indemnity, data protection and audit clauses and explain risk in 2–3 lines.”
    • Where I slightly disagree with the “just use Copilot + prompts” approach: Copilot is decent, but these tools are trained harder on legal text, so they usually hallucinate less and keep formatting cleaner.

  2. If you live in Google Docs

    • Native integrations are thinner here. Some CLMs fake it with “export to Word, review, re‑import,” which is annoying.
    • Look for:
      • An actual Docs add‑on that can run on highlighted text.
      • Comment‑style output instead of giant summaries at the end.
    • A few vendors only support Docs via Chrome extension, which can be flaky with long contracts. I’d stress‑test that on a 40–50 page MSA before buying.

  3. Risk flagging that doesn’t miss the obvious
    Common failure you’ve already seen: tools give you a polished summary and skip the deal‑breaker. To avoid that, I’d prioritize:

    • Systems that let you hard‑code mandatory checks:
      • “Always flag: uncapped liability, broad indemnity, unilateral change rights, non‑competes > 12 months, foreign governing law, etc.”
    • A review mode that shows you:
      • Clause text
      • Why it’s risky
      • One or two concrete edits, not “you may wish to consider negotiating this.”

    If you’re trialing, literally plant a few “landmines” in a test contract (uncapped indemnity, crazy audit rights, broad IP assignment) and check:

    • Hit rate on those 3–5 known issues
    • Whether the suggested edit is something you’d actually send out without rewriting from scratch

  4. Version control & collaboration
    This gets missed a lot. A contract AI that dumps a PDF report is pain. I’d look for:

    • Inline comments in Word/Docs
    • Track Changes suggestions using your formatting
    • Some notion of a “policy profile” so you are not rewriting instructions for every document

  5. Where I’d be cautious

    • Tools that brag about a “risk score” but can’t show you clause‑level logic.
    • Platforms that require you to fully adopt their CLM just to use the AI. You’ll spend more time migrating templates than saving in review time.
    • Anything that won’t let you export / keep your own clause library.

If you share:

  • Primary jurisdiction,
  • Typical doc types (SaaS vendor paper vs. procurement vs. employment), and
  • Whether you’re mostly reviewing third‑party paper or your own templates,

you’ll get more targeted names. The “right” AI for a SaaS vendor reviewing customer MSAs is very different from what an HR team needs for offer letters and option agreements.

4

One angle that hasn’t really been covered yet is: stop thinking “single magic tool,” start thinking “stack” and roles.

1. Pick a primary reviewer vs. a playbook engine

Instead of hunting for the perfect AI contract review software, decide what will be your:

  • Primary reviewer inside Word/Docs: something like Spellbook or Harvey that lives in the doc and does inline comments and tracked changes.
  • Playbook brain: this can literally be your own “LLM + policy” setup or a CLM module that enforces rules.

Trying to make one product do both is where most people feel the “it misses issues” pain.

2. Where I slightly disagree with the Copilot / generic LLM strategy

Copilot or a raw LLM plus a checklist (as @mikeappsreviewer and @viajeroceleste describe) absolutely works for power users. For a broader team, it often collapses because:

  • Prompts are not standardized, so reviewers get inconsistent results.
  • People forget to paste the full playbook.
  • Non‑lawyers struggle to tell when the AI is confidently wrong.

So I’d treat that approach as a second layer, not your main tool.

3. How to test tools without wasting a month

When you trial anything, do this:

  1. Build a “trap” contract:
    • Uncapped indemnity
    • Unlimited auto‑renew
    • Governing law you hate
    • Overbroad IP assignment
    • Ugly data processing language
  2. Measure only three things:
    • Hit rate on those planted issues
    • Quality of suggested redlines, not just explanations
    • How cleanly it works in Word/Docs with your formatting

If a platform cannot reliably catch the landmines, it will not save you in production.

4. About integration with Google Docs

This is where reality bites. Native Docs integrations are still weaker than Word. If your org is deep in Google Docs:

  • Favor tools that use comment‑style output instead of separate reports.
  • Test on a long contract for performance. A lot of Chrome‑extension style plugins choke on 40+ pages.
  • Be ready for a hybrid workflow: heavy review in Word, light collaboration in Docs.

5. Governance and adoption matter more than model quality

The big miss I see in small legal teams:

  • No shared “accept / reject” rules.
  • No standard way to tag risk levels.
  • Everyone configuring the tool differently.

Whatever you pick, lock in:

  • A short, written playbook that the tool references.
  • 2 or 3 pre‑built “review profiles” like “vendor paper, we are customer” vs “our template, they are customer.”
  • A quick training for the team on when to trust the suggestion and when to escalate.

That is what turns an okay AI into a genuinely useful reviewer, more than switching platforms for the tenth time.

If you post your main jurisdiction plus whether you are mostly reviewing third‑party paper or your own templates, you can get much more pointed recommendations on specific vendors rather than broad categories.