Best AI Tools for Drafting Contracts (What Each Can Actually Draft)

"Best AI tools for drafting contracts" usually gets answered with a marketing summary of what each vendor says it does. This page tries something narrower and more useful: what each tool actually puts on the page when you ask it to draft, tested against real Indian legal defaults rather than a features list. This page is published by Adira, a contract drafting and CLM platform that is one of the tools discussed below, so that conflict is disclosed here, in the first paragraph, not at the bottom. We are not ranking Adira first. Different tools genuinely do different jobs well, and the one failure mode almost none of them are built to catch, general AI drafting fluent, confident, wrong-for-India clauses, is worth understanding before you trust any tool's first draft.

How we tested this

We ran the same three drafting prompts against each tool or category below: a straightforward services agreement between two Indian companies, a non-compete clause for an Indian employee leaving a company, and an IP assignment clause for a contractor, silent on term and territory. For each output we checked what contract types it handled well without heavy editing, whether it draws on a specific corpus or house style rather than an internet-wide average, whether Indian statutory defaults showed up unprompted, how often it invented or misapplied something, and how much a lawyer would still need to change before signature. Pricing is published in full only by Adira; most of the rest is quote-only or a third-party estimate, marked as such, last checked in September 2026. Vendor pricing and features change; confirm current details directly before buying.

General AI: ChatGPT, Claude, and Gemini

These are general-purpose chatbots, not legal products, and that is exactly what shows up in the output. Ask any of them to draft a simple NDA or a short services agreement and you get something usable in minutes, often better structured than a first-time founder would write alone. The problem is not fluency. It is that the model has no idea which country's law should govern your contract unless you tell it, and even when you tell it, it does not reliably apply the correct rule.

Give any of the three a bare instruction to "draft a non-compete clause for an employee leaving an Indian company" and the likeliest output restrains the employee for a fixed period within a fixed geography, the US reasonableness pattern (limited time, limited miles) that American courts test for. Indian law runs no such test. Section 27 of the Indian Contract Act, 1872 does not ask whether a restraint is reasonable; it voids it outright. Ask the same tool to draft an IP assignment clause for a contractor and it commonly writes "assigns all right, title, and interest... in perpetuity, throughout the world" without being asked to, the US work-for-hire default, when Indian copyright law defaults the opposite way if the clause is silent. Neither failure is a bug you can complain about. It is what a model trained overwhelmingly on US and UK contract text does when nobody corrects it.

Hallucinated citations are the sharper version of the same problem, and this is no longer theoretical in India. In Pooja Ramesh Singh v. Jammu and Kashmir Bank Ltd. (2026 INSC 668, Supreme Court of India, 2 July 2026), the Court formally addressed AI-generated case citations that did not exist. A Bombay High Court bench separately imposed costs of Rs 50,000 on a litigant for unverified AI-generated submissions. If a general AI tool inserts a case name or section number into a contract's recitals or a supporting memo, verify it exists before it goes anywhere near a signature. Pricing across the three sits close together at the individual level, roughly $20 a month for ChatGPT Plus, Claude Pro, or Google's AI Pro tier at the time of writing, with team and enterprise tiers priced separately and varying by vendor.

Spellbook

Spellbook is a Microsoft Word add-in, so drafting happens where a lawyer already works. It drafts and redlines against a firm's own playbook and clause library rather than generating from scratch every time, which narrows the "confident but wrong" problem for contract types the playbook already covers. It positions toward common-law markets generally, with no India-specific statutory grounding surfaced on its own site. It handles NDAs, MSAs, and other commercial agreements a firm negotiates repeatedly well once the playbook is built out; it does not know Indian defaults any better than a bare chatbot unless someone has fed India-specific positions into that playbook. Spellbook does not publish a rate card on its own pricing page; third-party trackers report tiers roughly $99 to $199 per user per month, unverified directly.

DraftWise

DraftWise, also a Word add-in, takes corpus-grounding further: it turns a law firm's own historical deal data into a searchable base the AI drafts from, rather than a generic average. That is a real strength for a firm with years of precedent in a specific practice area, finance, M&A, or whatever the firm actually does, because the tool drafts from what that firm has already negotiated and won, not from the open internet. The flip side is direct: DraftWise is only as good as the corpus behind it. A firm with no meaningful India-market deal history gets no India-specific benefit from the grounding, and DraftWise states no India-specific positioning of its own. It is SOC 2 Type II and ISO 27001 certified, does not train on client data, and prices on a quote-only basis.

Adira

Adira is a browser-based platform rather than a Word add-in: drafting, review, e-signing, e-stamping, a repository, and obligation tracking together, built on Anthropic's Claude. Its version of corpus grounding, Company Persona, works from a company's own executed contracts and playbook positions on a structured, editable clause tree, covered in more depth in what a company legal persona is. Where it differs from the other grounded tools here is that Indian statutory defaults, non-compete voidability under Section 27, IP assignment term and territory under Section 19, are built into the drafting logic itself, not dependent on a firm having fed that knowledge into a playbook first. That is a real advantage for Indian contracts specifically, not a claim that it is the strongest tool for a UK-only or US-only team, where it has less of a track record than the names above. It publishes pricing: Practice $89 to $109 per seat per month (minimum 3 seats), Firm $179 to $219 (minimum 5 seats), Enterprise on request, each with a 7-day trial, last verified 4 September 2026 on adiralaw.com. It states it does not train on customer contracts and covers 40-plus jurisdictions, India deepest. For a quick, free check of a single clause, you can mark it up in Weave, Adira's free browser-based contract markup tool, before committing to anything paid.

Template and document-assembly tools

This category works differently from all four above: nothing is generated. A template tool asks a series of questions and fills a fixed document with the answers. In India, sites like Vakilsearch and LegalDesk offer template libraries for rent agreements, NDAs, and standard employment letters, often free to download in basic form, with paid tiers for expert drafting layered on top. In the US, LawDepot and Rocket Lawyer run the same model at roughly $35 to $40 a month for unlimited documents, or a pay-per-document rate between $7.50 and $119. A fixed template cannot hallucinate a clause or a citation, because nothing is written by a model. The limit is just as fixed: it drafts well only for the scenario it was built for, and the moment your deal has a term the form did not anticipate, a shared IP arrangement, a milestone payment schedule, an unusual indemnity carve-out, you are editing free text with no AI or lawyer judgment behind the edit.

What each one can actually draft: the comparison table

Tool	Contract types it drafts well	Grounding / house style	India-law	Hallucination risk	Needs review	Pricing
General AI (ChatGPT, Claude, Gemini)	Short, common documents from a good prompt: NDAs, simple service agreements, freelancer contracts, letters	None by default; only what you paste into that session's prompt	None surfaced; drafts US/UK-pattern clauses unless corrected, and often gets India wrong even when told	High on citations, section numbers, and unprompted US-pattern defaults; fluent language, unreliable law	Always; treat every draft as a rough first pass and verify every citation	Roughly $20/user/month for individual paid tiers at time of writing; team and enterprise tiers vary
Spellbook	Playbook-covered types a firm negotiates repeatedly: NDAs, MSAs, commercial contracts	Firm's own playbook and clause library, inside Word	None surfaced; positioned for common-law markets generally	Lower than bare AI within playbook-covered clauses; unchanged outside them	Yes, especially outside trained jurisdictions or playbook coverage	Not published; third-party estimates ~$99 to $199/user/month
DraftWise	Whatever the firm's own deal history covers deeply, often a specific practice area	The firm's own precedent and negotiated deal history, inside Word	None surfaced; depends entirely on whether the firm's own corpus includes India-market deals	Lower on clause types the corpus actually covers; unchanged elsewhere	Yes, though less on well-covered clause types over time	Quote-only
Adira	Contracts matching a company's own executed history and playbook: MSAs, NDAs, vendor and employment agreements	Company Persona: the company's own executed contracts and playbook, on a structured clause tree	India-first; statutory defaults (non-compete, IP assignment, stamping) built into drafting logic	Lower within its grounding and stated jurisdiction library; still an LLM, still needs checking on edge cases	Yes; fewer bad defaults reach the first draft, but judgment on real stakes still needs a lawyer	Published: Practice $89-$109, Firm $179-$219 per seat/month, Enterprise custom, 7-day trial
Template tools (Vakilsearch, LegalDesk; LawDepot, Rocket Lawyer)	High-volume, low-customisation documents: NDAs, rent agreements, standard offer letters	None; a fixed template you fill in	Indian sites use India-format templates; nothing adapts per clause you customise	Near zero; nothing is generated, so nothing is invented, but nothing is negotiated either	Yes, for anything beyond the templated scenario; the template has no judgment of its own	Low: pay-per-document ~$7.50-$119, or unlimited monthly ~$35-$40; Indian sites often free for basic downloads

The India-law reality check

Two statutory defaults explain most of the gap between a corpus-grounded, India-aware tool and a fluent generalist, and both are checkable in under a minute against any tool's output.

Post-employment restraints. Section 27 of the Indian Contract Act, 1872 states:

"Every agreement by which any one is restrained from exercising a lawful profession, trade or business of any kind, is to that extent void."

Read the section on Indian Kanoon. There is no "reasonable time and geography" carve-out for a restraint that only bites after employment ends, only a narrow exception for the sale of business goodwill. The Supreme Court confirmed this squarely in Superintendence Company of India (P) Ltd. v Krishan Murgai ((1981) 2 SCC 246, decided 9 May 1980): post-service restrictive covenants are prima facie void under Section 27, and the doctrine of restraint of trade "never applies during the continuance of a contract of employment; it applies only when the contract comes to an end." Read the judgment. A tool that shortens the restraint's duration instead of removing it has applied a US test to an Indian contract.

IP assignments silent on term and territory. Section 19(5) of the Copyright Act, 1957 provides that where the period of assignment "is not stated, it shall be deemed to be five years from the date of assignment," and Section 19(6) provides that where the territorial extent "is not specified, it shall be presumed to extend within India" only. Read both on Indian Kanoon. In Pine Labs Pvt. Ltd. v Gemalto Terminals India Pvt. Ltd. (Delhi High Court, 3 August 2011), a clause used the word "assigns" with no stated period or territory, and the court held Sections 19(5) and 19(6) were "inevitably triggered," converting an intended permanent, worldwide transfer into five years, India only. Read the judgment. A tool that drafts "in perpetuity, throughout the world" as its default has again applied the wrong country's assumption.

A third, quieter check: does the tool ever mention stamping. Section 35 of the Indian Stamp Act, 1899 states that "no instrument chargeable with duty shall be admitted in evidence for any purpose... unless such instrument is duly stamped." Read the section on Indian Kanoon. None of the tools compared here draft the stamping step for you, but a tool that never even raises it as a question leaves a working, well-drafted contract exposed the day someone needs to rely on it in court.

A test you can run on any tool's output, Adira's included: search the draft for a non-compete running "following termination," an IP or work-product clause silent on period and territory, or a governing-law clause naming a US state or England with no connection to either party. Any of those, unflagged, is training data speaking, not a considered legal position.

Red flags to watch for in any tool's drafts

Normal	Red flag	Why it matters
The tool states what jurisdiction its training or playbook is actually built for	It claims to "work for any country" with no specifics	Drafting is jurisdiction-specific; a universal claim usually means no jurisdiction was actually tested
A case name, citation, or section number the tool gives can be found on Indian Kanoon or a court's own site	It cannot be located when checked	Courts have now sanctioned parties for unverified AI-generated citations
Non-compete guidance cites Section 27 voidability for a post-employment restraint	Guidance only shortens duration or narrows geography	That is the US reasonableness test; Indian courts run none for restraints after employment ends
An IP or work-product clause states an explicit period and territory	The clause is silent, and the tool treats that as permanent and worldwide	Silence defaults to five years, India only, under Sections 19(5) and 19(6)
The tool flags that stamping may apply before a document is relied on	It discusses clause wording only, never mentions stamp duty	An unstamped instrument can be inadmissible in evidence
The vendor states plainly what it does and does not train its models on	Data-use language is vague or absent	You cannot assess exposure without knowing whether your drafts train a shared model
The tool hedges when a fact is uncertain	Every answer, including citations, is delivered with equal confidence	Fluency is not the same as being correct, especially on law

A bad clause, and a better one

This is the general AI failure mode above, shown as a full clause, for a non-compete a generalist tool might produce, unprompted, in an employment agreement for an Indian employee.

Bad (US-pattern default): "Following termination of employment for any reason, Employee shall not, for a period of twelve (12) months, directly or indirectly engage in any business that competes with the Company within a fifty (50) mile radius of the Company's registered office."

What is wrong: this is drafted to survive the US reasonableness test, limited time, limited distance, a pattern that does not exist in Indian law. Section 27 does not ask whether twelve months or fifty miles is reasonable. A restraint that only operates after employment has ended is void, full stop, subject only to the narrow goodwill-sale exception, as the Supreme Court held in Superintendence Company of India v Krishan Murgai.

Better (India-correct): "Nothing in this Agreement restricts Employee's right to seek employment, provide services, or engage in any lawful profession, trade, or business, whether or not with a competitor of the Company, after the termination of employment. Employee's confidentiality obligations under Clause [X] survive termination and continue to apply without limitation of time."

What changed: the clause drops the unenforceable post-employment restraint entirely and puts the real protection where Indian law actually allows it, a confidentiality obligation that survives termination, rather than a blanket restriction on lawful employment that a court would strike anyway.

How to actually pick, by job

Run this against the categories above rather than treating any one as a universal winner. A fast first draft of something common, verified clause by clause yourself: general AI works, provided you run the checks above before relying on the output. Drafting inside Word, with a firm playbook or years of the firm's own precedent behind it: Spellbook or DraftWise fit directly. A document today with zero customisation and zero budget for review: a template tool is the right call, as long as your deal genuinely fits its assumptions. Drafting, review, e-signing, and obligation tracking in one system, with India-specific defaults built into the draft itself: that is Adira's case to make, and the honest limit is that it is newer and smaller than most names on this page. See best AI contract drafting software 2026 for how the fuller CLM category compares beyond just drafting, and can AI draft a contract for a closer look at what "drafting" a contract with AI actually means before you pick a tool.

FAQ

Which of these tools is actually correct on Indian law out of the box? Only Adira builds Indian statutory defaults, non-compete voidability, IP assignment term and territory, into its drafting logic without the user having to configure it first. Spellbook and DraftWise can become India-aware if a firm feeds India-specific positions into their playbook or precedent base, but neither states India-specific grounding on its own. General AI and generic template tools show no India-specific correction by default.

Is ChatGPT, Claude, or Gemini reliable enough to draft a real contract? For a fast first draft of a common document, yes, with editing. For anything with real stakes, no, not without checking every citation, section number, and default clause against the law that actually applies, since none of the three has legal grounding built in.

What does "hallucination risk" mean for a contract drafting tool specifically? Two things: inventing a citation or section number that does not exist, which Indian courts have now formally addressed, and applying a confident, fluent default from the wrong country's law without flagging it as a judgment call. Corpus-grounded tools reduce both within what their corpus covers; they do not eliminate either.

Do playbook or corpus-grounded tools remove the need for a lawyer? No. They reduce how often a bad default reaches the first draft. None of the tools compared here, Adira included, removes the need for a human to judge enforceability on anything with real stakes.

Are template tools worse than AI tools, or just different? Different. A template cannot hallucinate, since nothing is generated, which makes it the lowest-risk option for a document that genuinely fits it. It also cannot adapt or catch an India-specific issue in a clause you customise, which an AI tool, done well, can at least attempt.

Can I combine a free tool with a paid one instead of picking just one? Yes. Many teams sanity-check a single clause free first, then move to a paid platform, Word add-in, or lawyer only once the contract has real commercial stakes attached.

This comparison reflects public information as of September 2026, disclosed as written by Adira, a competing product in the category it describes. Vendor features and pricing change; confirm current details directly before buying. The Indian statutory points above state the general legal position, quoted from the primary source and linked, not whether a specific clause in your contract is enforceable in your situation. This is not legal advice, and nothing here substitutes for a lawyer reviewing your actual draft.