Start with the parties, terms, governing law, and reference files. Gixo builds a structured legal first draft that counsel can review clause by clause. Learn how contract automation software converts structured deal facts, reference files, and drafting instructions into a first draft while keeping legal judgment and approval with qualified reviewers.
AI contract drafting software helps create agreement drafts from structured intake, templates, clauses, variables, drafting rules, approved source material, and constrained AI assistance. Unlike a one-shot AI contract writer, a reviewable workflow confirms transaction facts, preserves document structure, checks the assembled draft, and routes nonstandard issues to qualified reviewers. Gixo Lex covers 29 named draft workflows plus custom drafting on the main create flow (guided confidentiality/IP, services, corporate/equity, employment, real-estate, finance, and general legal documents, including custom drafting), backed by 29 document-specific drafting guides, plus one for custom drafting, in the current engine, and supports agreements with up to 10 parties in distinct roles. Before review it runs 5 deterministic draft checks — clause inventory, missing-clause coverage, defined-term consistency, cross-reference validation, and execution readiness — and flags every mandatory clause the catalogue requires for the selected document type but the draft is missing. Drafts export in PDF, DOCX, HTML, and TXT. Lex plans run $29–$229 per seat per month with a 14-day no-card trial. It does not provide legal advice, certify compliance, or replace professional review.
Lex · inspect the actual output
A reviewable contract draft keeps the original source, proposed wording, checks and saved version together. This real Lex NDA example changes a two-year confidentiality period to three years, broadens employees to personnel and adds a five-business-day compelled-disclosure notice. The exported Word redline exposes the actual changes.
Start with a document you may use and read the extracted structure. In this example, the imported mutual NDA is version one; the redline compares that saved version with the later applied version. It does not establish that an original third-party negotiation history was imported.
Check the confidentiality duration, the people covered and the notice period together with definitions, exceptions and cross-references. A revised clause can read smoothly while changing a material obligation or relying on a broken reference elsewhere.
Structural validation ran before Apply. Five high-risk review items remained unresolved, including an intentionally broken Section 9.9 reference. A structural pass is not legal approval, and extracted obligation candidates are not confirmed register entries.
After Apply and save, inspect version two and the exported v1-to-v2 Word redline. It contains three insertions and two deletions. Approval, signatures and confirmed obligations require their own reviewed workflow; none is demonstrated by this file.
A reviewable contract draft keeps the original source, proposed wording, checks and saved version together. This real Lex NDA example changes a two-year confidentiality period to three years, broadens employees to personnel and adds a five-business-day compelled-disclosure notice. The exported Word redline exposes the actual changes. The parties and editing instructions are fictional. This example is a workflow demonstration, not a recommendation to adopt its clauses. Legal suitability, final approval, signatures and a confirmed obligation register remain outside the demonstrated result.
The parties and editing instructions are fictional. This example is a workflow demonstration, not a recommendation to adopt its clauses. Legal suitability, final approval, signatures and a confirmed obligation register remain outside the demonstrated result.
The job is not to ask AI for a legal answer. The job is to prepare a draft or artifact that a qualified reviewer can actually work with.
Capture parties, commercial terms, dates, and governing law as distinct inputs so the draft has the facts it needs before generation starts.
Use prior agreements and internal precedent to steer the next first draft toward the language and clause patterns your team already trusts.
Reference files and governing context can shape the draft. Cited sources can show which draft sentences are supported by supplied reference files. This in-app support does not establish legal authority or statutory compliance and is not inserted into the contract or its exports; reviewers still check the facts and law independently.
Define up to 10 parties with distinct roles and representative details for more complex agreements than a two-party template can handle.
After the first draft, Lex runs an AI contract review of the whole contract, with every quotation checked against the text, beside rule checks: clause coverage against a versioned playbook, clause-conflict detection, and defined-term and cross-reference checks. Findings, tracked-change DOCX redlines, comments, review state, assignees, due dates, and version history all stay attached to the same document. A contract imported from Word can go back as that same DOCX, with the Lex edits shown as Word tracked changes; where Lex cannot track an edit faithfully, such as inside a field, an existing revision, a header or a footer, it refuses the export instead of altering the document. Reviewers still verify every clause and conclusion.
Gixo helps prepare regulated work. It does not provide legal advice, certify compliance, or replace professional review.
A dependable contract automation tool uses a controlled sequence rather than jumping from a short prompt to a supposedly final agreement.
Choose the appropriate contract family and approved starting structure. In Gixo, the main create flow covers guided confidentiality/IP, services, corporate/equity, employment, real-estate, finance, and general legal documents, including custom drafting. If the transaction does not fit an approved path, escalate it instead of forcing inaccurate selections.
Capture parties and roles, entity details, commercial terms, dates, governing law, scope, special conditions, and required approvals as distinct inputs. Confirm extracted or user-entered facts before drafting.
Provide precedent agreements, clause language, negotiation guidance, or other permitted reference files. Retrieval should respect access and confidentiality boundaries, and reviewers should verify that the selected material fits the transaction.
Templates, variables, and conditional logic establish the agreement sections, party references, definitions, schedules, and required provisions. Deterministic rules are useful where the approved drafting path is known.
AI can organize supplied scope notes, assumptions, deliverables, or commercial background into a first draft. Good instructions preserve approved terminology, prohibit invented facts, and return questions when information is missing.
Verify parties, dates, amounts, definitions, clauses, cross-references, schedules, and unsupported assumptions. Use the editor, comments, versions, and review workflow; export in PDF, DOCX, HTML, and TXT only after the appropriate business and legal review.
Contract automation software converts a repeatable drafting process into a controlled system: it captures transaction facts, applies decision rules, selects or retrieves approved content, fills variables, assembles document sections, and produces a draft for review. Legal contract automation software is broader than simple mail merge because the answers can change which clauses, schedules, and follow-up questions appear.
Contract drafting software focuses on creating and revising agreement language before execution. Document assembly software combines reusable sections and data into a document; document assembly software for lawyers adds legal templates, clause controls, drafting instructions, and review requirements. Contract lifecycle management may also cover repositories, approvals, signatures, obligations, renewals, and post-signature reporting. A product can support more than one category, but buyers should evaluate the drafting workflow separately instead of assuming every CLM system provides controlled AI contract drafting.
Reliable legal contract drafting software depends on the relationship among document structure, governed content, accurate data, decision logic, and accountable review.
The template defines the agreement's baseline sections, definitions, formatting, schedules, and execution mechanics. Optional modules must still assemble into one coherent document with valid numbering and cross-references.
A governed clause library records each clause's purpose, conditions, dependencies, approved variants, fallback positions, and escalation triggers. Reuse without that context is copying, not controlled automation.
Party names, dates, currencies, prices, notice details, governing law, deliverables, and repeatable lists turn a general template into a specific agreement. High-impact variables need stricter validation.
Rules connect facts to drafting outcomes: a service category may trigger privacy or insurance questions, while a pricing model may select a compatible payment structure. Reviewers should be able to inspect why a provision appeared.
Generative AI is most useful for transaction-specific sections such as scope, assumptions, deliverables, and schedules. Constraints should preserve supplied definitions and approved language while exposing gaps instead of guessing.
Automated checks can flag missing variables, undefined terms, inconsistent party names, empty schedules, or broken references. Qualified reviewers still assess legal effect, commercial intent, factual accuracy, and acceptable risk.
The strongest contract generator software uses the right method for each drafting task instead of treating deterministic rules and generative AI as interchangeable.
| Drafting need | Deterministic automation | Generative AI assistance |
|---|---|---|
| Best suited to | Repeatable, approved document paths | Transaction-specific language and unstructured notes |
| Typical input | Controlled fields, selections, and rules | Structured brief, supplied notes, and approved examples |
| Typical output | Predictable templates, clauses, variables, and schedules | Suggested wording, summaries, explanations, or organized scope |
| Main control | Approved logic and locked content | Grounding, task boundaries, constraints, and reviewer verification |
| Main failure mode | Outdated template or incorrect decision rule | Invented facts, unsupported assumptions, or inconsistent language |
| Human responsibility | Approve content, rules, variables, and exceptions | Validate sources, meaning, completeness, risk, and legal suitability |
Deterministic automation provides repeatable control for agreement structure and approved language. Contract drafting AI provides flexibility where the transaction requires customized wording. Combining them lets an AI contract generator assist with the variable work while keeping mandatory content, escalation rules, and review obligations visible.
A contract creation tool is only as reliable as the facts it receives. Intake design should separate confirmed transaction data from legal or commercial judgments and ask only the questions relevant to the selected drafting path.
To automate contract creation responsibly, normalize equivalent inputs, reject impossible date or currency combinations, preserve uncertainty, and route unusual transactions to an exception path. An approximate deadline should not silently become a fixed legal commitment.
| Capability | Gixo | Template libraries | Consumer legal sites | General AI |
|---|---|---|---|---|
| Main job | Contract first-draft workspace | Static forms | Consumer document access | Prompt output |
| Structured intake | Yes | Ask the vendor | Questionnaire | Prompt, project or custom workflow; verify |
| Reference-file input | Yes | Test on the same inputs | Ask if it accepts your files | Paste or upload; verify current support |
| Governing-law-aware draft | Yes | Template dependent | Test on the same inputs | Test on the same inputs |
| Clause review workflow | Yes | Ask where review happens | Ask where review happens | Verify current document and review tools |
| Legal advice or execution | No legal advice; simple electronic signature and execution records included | No | Ask the vendor | No |
The other columns describe what each kind of tool is generally for, not a test of a named product, and products differ. Run the same brief and reference files through anything on your shortlist, then compare the draft, the review trail and the export.
Compare supported inputs, outputs, limits, and the points where professional review remains essential.
| Specification | Gixo Lex |
|---|---|
| Named draft workflows | 29 named on the main create flow, plus custom drafting: guided confidentiality/IP, services, corporate/equity, employment, real-estate, finance, and general legal documents, including custom drafting |
| Drafting guides behind the engine | 29 document-specific legal drafting guides plus one for custom drafting, including NDA, MSA, SOW, SLA, employment, consulting, licensing, lease, loan, IP assignment, and partnership structures |
| Parties per agreement | Up to 10, each with entity details, representatives, and a distinct role — more than a two-party template can carry |
| Governing law | Supplied as drafting context; counsel verifies the applicable law and the resulting clauses |
| Reference material | Upload permitted agreements, precedents, and templates to inform drafting; reviewers check how the resulting draft uses them |
| Reference file types | PDF, Word, Excel, CSV, PowerPoint and text files, scans and pictures (read by OCR), and audio or video (transcribed) |
| Drafting method | Section by section, with figures in the draft checked against the figures you supplied |
| Draft analysis checks | 5 deterministic passes: clause inventory, missing-clause coverage, defined-term consistency, cross-reference validation, execution readiness |
| AI contract review | With every draft and on every imported contract: each expected clause reported as present, weak or absent; up to 25 risks with a level, the party each falls on, why it matters and replacement wording; provisions that cannot both be followed; every quotation checked against the contract text. No single risk score |
| Missing-clause check | Deterministic checks flag every mandatory clause a document type's catalogue requires but the draft is missing, from 116 clause definitions across 29 named document types. |
| Compliance work product | 20 compliance forms across 5 execution modes, producing checklists, evidence matrices, working papers, filing support notes, and policy drafts |
| Editing granularity | Clause by clause — rewrite, rephrase, or rescope one clause without touching the rest |
| Export formats | PDF, DOCX, HTML, and TXT — 4 formats, after review |
| Clause-level source provenance | Not shown clause by clause. The Cited sources panel beside the draft lists the reference passages that support particular sentences; it is not written into the document or its exports. Reviewers verify authority and supporting facts independently |
| E-signature and execution | Simple electronic signature from the agreement's Agreement Pack: each signer gets an emailed link to a frozen PDF, and the completed copy gets an appended audit certificate, and Gixo records its SHA-256 fingerprint. Not a qualified or certificate-based signature. Signature blocks also render in exported documents |
| Signers, order and reminders | Up to 10 signers, an optional signing order, an emailed code each signer enters, and automatic reminders to signers who have not signed |
| Approvals | Approvers named in order, with rules that add an approver for high-risk findings or for a liability cap above an amount you set. Once approvers are set, the drafter cannot approve, and the next approver is notified in Gixo and by email |
| Legal advice or compliance certification | Not provided. Lex prepares drafts for a qualified reviewer |
| Plans (per seat, per month) | $29 Solo Pilot (support-routed, not instant self-serve), $99 Solo, $149 Small Firm, $179 Growing Firm, $229 Marketplace |
| Seats included | 1 on Solo Pilot, 1 on Solo, 3 on Small Firm, 5 on Growing Firm, 10 on Marketplace |
| Trial | 14 days, no card required. There is no free tier |
The best candidates for automated legal document assembly are recurring agreements with understood inputs, approved starting language, visible exceptions, and a defined review path.
Structured questions can capture the parties, disclosure purpose, term, governing law, and mutual or unilateral structure. Residuals language, unusual disclosure rights, or nonstandard duration can trigger additional review.
An AI contract writer can organize supplied notes into objectives, deliverables, milestones, customer responsibilities, assumptions, fees, and acceptance criteria. Reviewers confirm that the scope aligns with the main agreement and actual delivery plan.
Controlled intake can distinguish internal-use, subscription, or evaluation rights and align usage limits, support, pricing, and data terms. Government use, regulated sectors, and unusual intellectual property positions may require specialist review.
Supplier identity, purchase category, delivery location, payment terms, insurance, on-site work, and data handling can determine which approved modules appear. Nonstandard supplier requests remain decisions for authorized legal and business reviewers.
Structured variables can populate the parties, role, compensation, start date, work location, confidentiality, and termination framework. Local requirements, worker classification, equity, restrictive covenants, and unusual benefits require qualified review.
The correct automation result may be an exception or targeted question rather than a generated agreement. High-value, regulated, cross-border, multilingual, contradictory, or novel transactions should not be forced through a routine template.
A generated contract remains a draft. Review is the stage where reviewers test whether the document reflects the actual deal, approved risk position, applicable requirements, and intended relationships among clauses.
Version names should identify the agreement, date, revision, and review state instead of relying on repeated “final” labels. A small change such as replacing “may” with “shall” can matter more than a page of formatting edits, so comparison tools support judgment rather than replacing it.
“Best” depends on agreement volume, complexity, approved content, user roles, review requirements, and risk. An AI contract drafting software comparison should test inspectable controls rather than rely on a generic feature count. Contract drafting software for attorneys should also preserve professional review, confidentiality boundaries, and accountability.
Can the software handle templates, conditional sections, repeatable fields, definitions, schedules, formatting, numbering, cross-references, and usable export formats?
Can owners approve clauses, record drafting instructions, control variants, manage permissions, preserve locked language, and identify when a fallback requires escalation?
Are questions conditional and understandable? Does the system validate high-impact data, prevent incompatible choices, expose the reason for clause selection, and provide an exception path?
Can generation be grounded in permitted sources, constrained to a defined task, instructed not to invent facts, and separated visibly from approved or manually revised language?
Are comments, review status, versions, comparisons, assignments, due dates, and required approvals attached to the same matter so reviewers can see the drafting history?
Evaluate current vendor evidence for access controls, confidentiality, data handling, retention, integrations, support, and administrative oversight using your organization's requirements.
Measure more than generation speed. Track intake completeness, time to first reviewable draft, reviewer effort, exception rate, drafting errors, approved-clause reuse, rework, turnaround time, and user adoption. The benefits of legal document automation software should be assessed against the same agreement types, risk tiers, and review standards.
These are two products and buyers often start out looking for one while describing the other. Contract management software — also sold as a contract management system, contract management solutions, or CLM — is a repository: it stores executed agreements, tracks obligations and renewal dates over time, routes signatures, and alerts you before something auto-renews. Ironclad, Agiloft and their peers do that job.
Gixo Lex is the drafting half. It turns intake, precedent you supply, clause requirements and reviewer notes into a first draft, then runs a draft-analysis pass that surfaces missing clauses, inconsistent defined terms, broken cross-references, and the obligations and renewal terms actually written into the text — so a reviewer can see them before signature rather than discover them afterwards. For agreements in Lex, it also covers signing and follow-up: from the Agreement Pack, Lex can collect simple electronic signatures, and once execution is recorded it sends in-app and email reminders for confirmed obligations such as renewal and notice dates. What it is not is a repository built to hold and track an existing contract portfolio. If you are searching for the best contract management software because renewals across agreements you already hold keep surprising you, that is a repository problem and this is not the tool for it. If your problem is that first drafts take too long and arrive inconsistent, it is.
Teams commonly run both, and the handoff is clean: draft and review here, and keep the wider contract portfolio there. Legal document drafting · Compliance documentation
A model does not know which email, note, or instruction is authoritative. Confirm extracted facts and make ambiguity visible before drafting.
Automation scales unclear clauses, obsolete references, inconsistent definitions, and hidden assumptions. Review and rationalize the source content first.
Unguided scope text can create vague commitments or conflict with the main agreement. Use structured prompts, examples, validation, and review triggers.
Polished language can still contain incorrect assumptions, missing exceptions, inconsistent definitions, or unintended obligations. Review meaning, not grammar alone.
Changes to payment, data, scope, acceptance, warranties, indemnities, termination, or liability can affect other provisions. Assess the agreement as a connected instrument.
Templates, clauses, rules, prompts, and review standards require named owners, testing, approval, maintenance, and a way to communicate substantive changes.
Lex drafts a contract section by section. Figures in the draft are checked against the figures you supplied, and every draft comes with an AI contract review. The Cited sources panel shows which sentences each reference file supports. Reference files can be PDF, Word, Excel, CSV, PowerPoint or text files, scans and pictures (read by OCR), and audio or video (transcribed).
Every contract in Lex, whether Lex drafted it or you imported it, gets an AI contract review. The review reads the whole contract and reports each clause the document type expects as present, weak or absent. It lists up to 25 risks, each with a level (high, medium or low), the party it falls on, why it matters and replacement wording, and it names pairs of provisions that cannot both be followed. Every quotation in a finding is checked against the contract text, and a finding whose quoted words cannot be found is left out rather than shown.
You decide each finding before the contract can be approved, and once you choose your party Lex can review the contract again for your side. There is no single risk score: the findings are the review, and qualified counsel still judges them. The rule-based Draft Checks described above still run beside the AI review, and the free public contract checker stays rule-based.
See what Lex added since the product tour · Contract review and redlining
Drafting is the start of the agreement, not the end. For contracts in Lex, the negotiation, approval, signing and follow-up stay on the same record.
Each of these steps prepares work for a qualified reviewer; none of them is legal advice or a certification that the agreement is enforceable. Choose where to begin in Lex
Compare contract versions. Use Compare to inspect saved revisions. With Lex review access, Review mode keeps the document read-only while you inspect findings and record decisions; it does not certify legal correctness.
Review clause edits before applying them. A manual edit or staged Ask Lex proposal shows the before and after wording. Replacement normally keeps subsections unless you include them; removal and changed numerical terms need acknowledgement. Validate the proposed text again after changing it, then decide whether to Apply to the saved version it was previewed against.
Approve the version you reviewed. The contract approval workflow ties the approval receipt to the exact saved version. With no approvers named, one approver's receipt records the decision; approvers can also be named in order, with two rules that add an approver for high-risk findings or for a liability cap above an amount you set, and then the drafter cannot approve, the next approver is notified in Gixo and by email, and the receipt records the whole chain. Resolve findings and open items before approval; later text or source changes require fresh review. This is a reviewer decision, not a legal verdict.
Decide the AI review findings. Every contract in Lex, drafted or imported, gets an AI contract review that reports expected clauses as present, weak or absent, risks with the party they fall on and replacement wording, and provisions that cannot both be followed, with every quotation checked against the contract text. Each finding is decided before approval; an edit leaves the review as the review of the earlier version until you review the changes.
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