Top Spellbook Alternatives & Competitors (2026 Comparison)

Spellbook has become one of the fastest-growing AI tools for lawyers. But as legal tech evolves rapidly, lawyers want to know: How does it compare to other options? What are the best Spellbook alternatives?

AI is reshaping legal practice faster than anyone predicted. ChatGPT reached a million users in five days. Netflix took 3.5 years. The technology has evolved from producing clunky, inaccurate content to drafting sophisticated legal analysis. The progress speaks for itself: GPT-4 passed the bar exam, and now Microsoft and Google embed AI throughout their platforms.

This guide maps the current landscape of lawyer-focused AI tools, starting with Spellbook and moving through alternatives for drafting, litigation analytics, and other practice areas. Think of it as your roadmap to AI in law right now.

Key Takeaways

• Legal AI is booming: From redlining assistants to litigation analytics and eDiscovery tools, AI is now embedded across nearly every area of law.
• Spellbook stands out: As the first generative AI drafting assistant in Word, Spellbook is ideal for transactional lawyers focused on speed and clause quality.‍
• Match tools to your needs: Whether you want better research (Casetext), litigation forecasting (Lex Machina), or contract lifecycle control (Ironclad), there's an AI platform for every legal function.

Top Legal AI Tools Compared (Tried and Tested)

We tested the leading legal AI platforms to see how they actually perform. Here's how Spellbook compares on the features that matter most to practicing lawyers.

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Spellbook

If your business involves drafting or reviewing contracts, Spellbook is going to be your best friend. Why? First of all, it works directly in Microsoft Word, where most lawyers already draft contracts. No switching between platforms or copying text back and forth.

Core Features:

• Missing clause detection: Scans your contracts and flags clauses you might have overlooked (choice of law, limitation of liability, indemnification)
• Instant drafting: Generates suggested language for any clause you need to add or revise
• Contract review: Compares incoming drafts against your standard templates and highlights differences
• Redline suggestions: Proposes specific edits to improve contract terms

I used Spellbook to draft the website terms of service and a privacy policy. Started with a big law firm template for the terms, and Spellbook caught a missing choice of law provision and drafted the language for it. For the privacy policy, which had a rougher starting point, it identified multiple missing clauses and provided ready-to-use text. Total time: 20 minutes for both documents!

With over 4,000 legal teams in 80+ countries, it's becoming the go-to AI for lawyers as one of the fastest-growing solutions in the space.

To see the platform in action, browse Spellbook video tutorials.

Harvey AI

While not widely available yet, Harvey is riding a wave of hype. How so? How's an $80 million investment that valued the startup at $715 million?

Harvey AI promises to allow lawyers to use natural language to analyze and generate documents. One example, provided to TechCrunch, is, "Tell me if this clause in a lease is in violation of violates California law, and if so, rewrite it so it is no longer in violation." While they initially plan on being a product for lawyers, as this tech matures, one can easily see this being a consumer solution that's far more useful than the legal information websites or will generation CD-ROMs of yore.

What is the product like to use? Well, despite the hype and funding, very few know. According to sources, they have a few large law firm customers. Given their target market and limited availability so far, this may be an aspirational product for most of us lawyers, sort of like a Gulfstream jet, rather than a tool you can use today.

Spellbook vs. Harvey

Harvey made waves in litigation, but 3,000+ legal teams trust Spellbook for faster contract work and deeper drafting.

See full comparison →

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Lex Machina

Lex Machina was into AI before it was a buzzword – they won an award back in 2019 for their use of machine learning and other integrated technologies to build a litigation analytics platform. Essentially, their systems use AI to categorize and analyze court documents to provide trends on judges, courts, lawyers, and parties in areas like case outcomes, findings, damages, and more. Lex Machina is part of LexisNexis, so you may have access to it if you’re a user of the Big Red Machine for your legal research.

For most people, Lex Machina analytics will not have a daily use case in their law firm. However, for larger litigation firms or venue shoppers, one could see this being very valuable for knowing the opposition, the courts, and the trends that point towards being plaintiff-friendly or not.

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Luminance

Luminance is an end-to-end AI platform covering everything from eDiscovery document review to reviewing contracts, to drafting new contracts. It even colour-codes clauses by acceptability, which is a pretty nifty idea. It is mainly focused on mass document review, rather than drafting contracts clause by clause, though it does purport to do that.

The biggest issue with Luminance is that it is an enterprise-grade tool with mystery pricing - their website doesn’t even address the issue. Because of this, one imagines it is likely out of the reach of most small firms and solo practitioners.

Kira (Litera)

Kira is another AI contract review platform that uses “patented machine learning” to analyze contracts, categorize clauses, and identify risk areas in contract language.

Much like Luminance, it seems to be more focused on reviewing documents at scale – imagine having the AI review thousands of contracts and summarize the presence of different types of clauses across those contracts - rather than being a one-on-one drafting assistant, like Spellbook.

Both Litera and Kira have opaque pricing that makes it difficult to ascertain whether they are a fit for a small firm or are better suited to large litigation teams.

Evisort

Evisort is a contract lifecycle management tool with integrated AI, that helps manage contract drafting, review, approvals, and more.

Suppose you’ve ever worked in-house at a company and had fifty people across marketing and sales all trying to juggle purchase orders and SLAs via email, complaining because legal isn’t reviewing them fast enough (while renegotiating terms in your standardized agreements with outside parties). In that case, you know how important a CLM tool can be for monitoring these contracts and ensuring they get the appropriate levels of review and approval before heading out into the market.

Ironclad

Need a contract lifecycle management tool? Yes, there are a lot of these, and they are all in an arms race to integrate AI into contract review and drafting.

Ironclad made legaltech headlines by being one of the first to integrate GPT3 into its platform, allowing users to review contracts according to a company’s pre-approved toolbox of contract terms and clauses.

One would be well-advised if they are in the market for a contract lifecycle management tool, to demo each of these and compare the features and costs before making the leap.

Lawgeex

Redline. Redraft. Resubmit. Repeat.

Much of the average in house lawyer’s time is spent reviewing the same old contracts over and over. And, too much of the average marketing, biz development, or salesperson’s time is spent nagging legally to get their papers back to them.

Much like Ironclad, Lawgeex addresses this problem with A.I.-based contract review and redlining. It also lets you define your own contract playbook, so those redlines and reviews will be determined by your company’s standard terms, not by some arbitrary A.I. mind’s whims.

Everlaw

Everlaw is a long-time leader in eDiscovery software, and much of its industry-leading feature set is powered by machine learning, which is a form of A.I.

Essentially, the software gets smarter as you work with it more, categorizing and clustering the heck out of piles of eDiscovery PDFs.

Contrast this learning and categorizing AI that is more about making existing content more manageable with generative AI, like Spellbook, that is more focused on generating new clauses and content.

DocketAlarm

DocketAlarm is now a legaltech veteran (and is owned by Fastcase), but it isn’t resting on its laurels. The docket tracking platform now includes GPT 3.5-based summaries of litigation briefs and activity, per Law.com, which is a nice automated way to see what the filings you’re perusing are about without buying every filing and reading it yourself.

Clearbrief

Clearbrief is a legal tool that uses artificial intelligence to help lawyers write better briefs and showcase the facts and law behind their arguments. It works as an add-in to Microsoft Word and allows users to find relevant evidence from discovery or any PDFs they upload, check the accuracy of their citations, generate a table of authorities, hyperlink their sources, and share an interactive brief with the court and opposing counsel. ClearBrief aims to save time, improve quality, and increase persuasiveness of legal writing.

BriefCatch

BriefCatch is a drafting and editing tool for lawyers. It is designed by a legal writer for legal professionals and works on Windows through Microsoft Word (or through Parallels on Mac). In addition to enforcing plan language writing standards, it will compare your writing to notable legal luminaries, like Justice Kagan or Paul Clement.

Casetext, Westlaw, LexisNexis

All three of these research platforms purport to use AI to improve their legal research platforms.

In particular, Casetext started using AI-powered search features a few years ago, which means that it not only crawls citations or keywords like we always have, but also uses AI to comb through the details, court history, and jurisdictional authorities of your actual matter to find more and better results, quicker.

Instead of looking for keywords or bluebook citations, it is looking for concepts and semantic meanings. Compared to a study conducted in 2018, which showed 21% more relevant results, 24.5% faster research times, and much happier lawyers, one can only speculate on how much better the AI model has become since then.

The “Wexis” duopoly also claims to have incorporated AI into their platforms to improve performance.

EvenUp

EvenUp is a startup that uses technology and AI to assist lawyers in personal injury cases.

It uses AI to help lawyers and victims evaluate injury claims, review medical documents, produce medical summaries, and calculate damage estimates.

After a $10 million seed funding round in 2022, the startup locked up a Series B round at a $350 million valuation in early April. EvenUp claims to have over 200 law firms as customers, and to have generated over $350 million in claimed damages.

Pick the Right Tool for Your Practice

AI moves fast. New legal tools launch every month, and existing platforms continually add capabilities. 

Choosing the right tool comes down to your specific needs. Litigation-focused firms have different requirements than transactional practices. In-house teams prioritize different features than law firms.

If you draft contracts in Word and want an AI assistant that integrates directly into your workflow, Spellbook might be the right fit. Start a free trial and put Spellbook to the test.

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