DraftPilot vs Ivo: how they compare in 2026
DraftPilot and Ivo use company playbooks to shape contract redlines, but they bring different context into the review. DraftPilot can focus a later negotiation round on the counterparty's changes and lets lawyers revise a playbook during the review. Its workspaces support controlled delegation while exceptions return to legal. Ivo combines a playbook with negotiation history and information about the current deal, including value, urgency, and strategic weight. It narrows historical comparisons by contract type, governing law, party role, and industry, and can apply up to three playbooks in one review. Ivo also supports both Word and Google Docs. The practical distinction is between a controlled Word negotiation process and a review that layers several standards with comparable past deals and current commercial context. Both leave proposed changes available for human inspection.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
DraftPilot's main product is model driven review and drafting inside Word. A selected playbook supplies preferred positions and fallbacks; the AI identifies departures, proposes language, and explains changes to the reviewer. The same models generate playbooks from past work and support conversational drafting, comparison, and research. Mass Review uses AI to answer questions across agreements and connect findings with source language. Conventional functions such as workspaces, permissions, and file conversion support that workflow, but they are not an independent contract management system. Removing the models would remove the review, analysis, and drafting service that customers buy.
Ivo applies models to contract review, portfolio analysis and the contracting workflow. Ivo Intelligence connects to contracts where they already live and adds extraction, plain English questions, amendment timelines and flags on departures from standard positions. Ivo Review assigns a separate agent to each topic, with a supervising agent that reconciles overlapping findings into one recommendation per topic, and applies playbook backed redlines in Word or Google Docs. Review also benchmarks clauses against the customer's executed contracts, narrowed by contract type, governing law, party role and industry, and Playbook Builder derives positions from those agreements. Ivo Assistant compares documents, researches regulation and reports on changes in the law. Each of these steps is model work over the customer's own contracts.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
AI Chat uses a curated legal network containing legislation, secondary sources, and commentary, with general web access excluded from legal research. Its research guide instructs users to specify the jurisdiction and inspect the list of source links used in an answer. Research can then become proposed changes to the contract, subject to reviewer acceptance. Mass Review separately lets users inspect the contract language underlying a table result. Published totals for the research network differ between the FAQ, guide, and trust center. No reproducible accuracy test, source freshness method, or systematic citation treatment results accompany those totals.
The contract review comparison set Ivo, Claude for Word running Opus 4.6 and a practicing Special Counsel at an Am Law 25 firm against the same 19 real, anonymized contracts. They spanned NDAs, MSAs, DPAs and other commercial types. Three attorneys with recent Am Law 100 or in house technology experience rated each output blind from 1 to 10 on issue spotting, surgical redlining, formatting retention, judgment and comments. The attorney averaged 4.56, Ivo 4.52 and Claude for Word 3.50, and the redlines and playbooks are downloadable. A contract took Ivo 2 minutes 45 seconds on average, against about 32 minutes for the attorney. The study names formatting retention as Ivo's weak area, and Ivo ran the study itself. Separately, Intelligence reports 97% accuracy against the Contract Understanding Atticus Dataset of 30,000 expert annotations, and Assistant returns cited answers from more than 100 legal sources.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The enterprise workflow divides authority between legal and approved business reviewers. Legal owns playbooks, permissions, acceptable positions, and escalation rules; procurement or contract managers perform a bounded first review on agreed contract types. Issues outside the approved route return to legal or the appropriate specialist with the clause and business context. The product proposes tracked edits and comments in Word, which authorized reviewers can edit, accept, or reject. DraftPilot expressly describes this arrangement as something other than autonomous contracting. Its control boundary is organizational approval and exception routing, rather than a published numeric model confidence threshold.
Redlines appear in Word or Google Docs for a reviewer to accept or reject. Playbook Builder cites the agreements behind its proposed positions and allows review before saving. Collaborate selects a workflow when an agreement arrives, progresses low risk agreements to signature and routes matters requiring judgment to a reviewer. The customer supplies the workflow steps, playbook and policy in plain English. The terms require use under a lawyer's direct supervision. Precise criteria for classifying a contract as low risk and the response to an incorrect automatic approval are not specified.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Axiom's 2025 white paper describes an eight week pilot in which 18 volunteer attorneys used DraftPilot on client work after an evaluation of eight suppliers. Evidence came from surveys, product analytics, participant calls, and feedback sessions. Forty four percent of participants reported time savings in the 40 to 60 percent band, while 16 of 18 reported moderate or significant improvement in work quality. The vendor's case study also separates tasks such as drafting, issue spotting, and summaries. These are reported observations from motivated volunteers, not a randomized benchmark. Raising Cane's provides another named deployment involving real estate positions and lease review.
Atlassian, Canva and CDW are featured with case studies, and Suhayb Ahmed, head of commercial legal at Canva, and Carla Michel, director and senior counsel at CDW, are quoted on the home page. Quora's legal operations lead, Adrie Christensen, says the first pass of redlines back to a counterparty fell from about 11 hours to 5 minutes. An assistant general counsel at Kandji says Ivo saved hundreds of hours in a year. None of these figures carries a date or a stated method. The benchmarking study compares output quality rather than production use: the attorney took 10 hours for the redlining tasks, while Ivo averaged 2 minutes and 45 seconds a contract.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
DraftPilot states that customer material does not train its models or public models, and its security guide says original contracts are not stored after analysis. Playbooks remain in the customer's workspace, with permissions controlling their use and editing. OpenAI inputs and outputs receive the stated zero retention arrangement. The broader trust center also names Anthropic and lists 30 days for generated redlines and comments, which narrows the general no retention headline. No accessible commitment directly addresses attorney client privilege or work product. The linked customer terms require sign in, and the trust center requests access before releasing the service agreement or DPA.
Ivo's policy prohibits training AI models on customer data, while its general terms grant use of customer content to provide the service without a matching express training prohibition. Intelligence offers separate rooms for projects, acquisitions and business units, and customers assign roles and permissions. The terms provide deletion of customer content on request within 60 days after termination, with ordinary backup and record retention exceptions. Their No Legal Advice clause waives claims of malpractice, privilege and an attorney client relationship in relation to Ivo. Model provider retention and the detailed enforcement of room boundaries are not specified.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The enterprise operating model keeps legal judgment with lawyers and approved specialists. Procurement and contract managers may conduct an initial review only within legal's chosen contract types, positions, and escalation rules. Suggested language remains subject to acceptance, and exceptional issues return to the legal team. This division keeps assistance separate from professional judgment and reserves consequential advice for legal. The research guide also asks the user to state a jurisdiction and intended use. Public pages do not define professional eligibility by jurisdiction or connect those controls to specific competence and supervision duties.
The terms carry a No Legal Advice clause. It says the service is no substitute for professional legal advice and that its legal information is general. Ivo does not guarantee the accuracy, completeness or timeliness of legal materials, and no attorney client or special relationship forms, including during implementation or training. The same clause has the customer warrant that use runs under the direct supervision of a lawyer representing it, which carries the supervision duty into the contract. No jurisdiction limit is stated, and no bar or ethics opinion is cited.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
DraftPilot's trust center publishes principles covering privacy in product design, human empowerment, and transparency through security certification. It also describes output protection, operational guardrails, and grounding of AI Chat in a verified source network. Those statements give a direction for responsible use but do not identify an accountable model owner, a release evaluation procedure, or results across languages and contract types. An AI Governance Policy is listed among resources that require access approval, so its contents cannot establish additional public controls. Customer playbooks and escalation rules govern a customer's review process; they do not disclose the vendor's own model testing.
Ivo's benchmark compares contract redlines through a blind review method. Three attorneys with recent Am Law 100 or in house experience judged redlines from Ivo, Claude for Word and a practicing Special Counsel across 19 real, anonymized contracts. Every output was stripped of identifying information and rated blind on five criteria, issue spotting, surgical redlining, formatting retention, comments and judgment. Ratings run from 1 to 10 as the mean of the three judges: 4.56 for the attorney, 4.52 for Ivo and 3.50 for Claude for Word. The study page sets out the playbook positions the redlines were judged against and offers the full report for download. No responsible AI policy, framework or accountable owner sits beside it, and SOC 2 and ISO 27001 cover information security.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Public resources distinguish contract analysis from stored customer configuration. The security guide says playbooks normally reside on AWS in Ireland and describes immediate deletion of OpenAI API inputs and outputs. The AI posture page separately lists 30 days for generated redlines and comments. Administrators use SSO, SCIM, workspaces, and permissions to control access. Twelve subprocessors are named with service roles, including hosting, model, email, analytics, and business operations providers. Encryption is specified for transit and storage. However, a complete deletion process for retained playbooks, a binding incident notification period, and the DPA terms are not available in the readable public material.
The privacy policy keeps a contract or document tied to a thumbs down rating for 14 days before deleting or deidentifying it. Other personal information is kept as long as Ivo has a business or operational purpose, and on request after termination customer content is deleted within 60 days. Access control appears as the customer assigning roles and permissions to its authorized users. The subprocessor list and security documents sit in a Vanta trust center. No incident or breach notification practice is stated.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
DraftPilot links to customer terms on SharePoint, but the linked document leads to a Microsoft sign in page. Its public trust center lists a Master Services Agreement and DPA behind an access request. As a result, no readable contract establishes liability caps, indemnity scope, an AI output warranty, or remedies for an incorrect clause or research answer. This is an access limitation, not evidence that the negotiated agreement lacks those provisions. The published review workflow allocates final decisions to authorized people, but that operational allocation does not reveal what financial responsibility DraftPilot accepts when its service makes an error.
The terms of 20 November 2024 cap Ivo's total liability at $100, and more than one claim does not raise the limit. Indirect, consequential and punitive damages are excluded, and clause 8 disclaims all warranties, accuracy and fitness included. The customer indemnifies Ivo, and no indemnity runs the other way. The customer also releases Ivo from every past, present and future claim relating to the service and waives section 1542 of the California Civil Code for unknown claims. Clause 14 adds a waiver of malpractice and privilege claims. Ivo's trust center lists a certificate of insurance among the documents it releases on request, and enterprise customers sign a separate Services Agreement that is not publicly available.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
The Microsoft Word connection has a described installation and editing path. Users install the add in through AppSource or central IT deployment, open it from the Word ribbon, and work with the agreement already being negotiated. Proposed language becomes native tracked changes, while explanatory comments accompany the edits. Reviewers can accept, reject, or alter individual suggestions and handle later rounds by focusing on counterparty changes. AI Chat can insert drafting or tables into the same file. Workspaces and identity controls manage product access. No comparable public sync specification describes a connection to a legal document management repository.
Review and Assistant run as add ins inside Microsoft Word and Google Docs, and review works on Word, PDF and Google Docs files. Intelligence connects to contracts wherever they are stored. Collaborate takes intake in Salesforce, redlines in Word and approvals in Slack, and syncs each teammate's changes back to the same deal with version history. Connections also reach existing file systems, cloud storage, common CRMs and e signature vendors. Slack, Google Docs and Teams are among the services a customer may connect, through which Ivo may receive messages and attachments. Named document management systems, a developer reference and what syncs in each direction are not described.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
DraftPilot is delivered through a Word add in and a browser interface, with hosted services handling analysis and team configuration. Its security guide places default playbook storage on AWS in Ireland and offers United States only hosting on Enterprise. The subprocessor list separately identifies Heroku in Ireland and OpenAI and Anthropic in the United States. Those provider locations do not establish where every model request is processed. The guide's OpenAI zero retention statement addresses persistence, not processing geography. Public materials therefore identify hosting choices and part of the provider chain without a complete regional account for all AI tasks.
Delivery is in the cloud, with no region, residency option, tenancy model or hosting provider stated. The privacy policy says the business operates from the United States, Canada and other jurisdictions. Personal information may be transferred to and stored in the United States and other places whose laws differ, and transfers out of Europe rely on standard contractual clauses.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
The public trust center names SOC 2 Type II and ISO 27001, with an ISO 27001:2022 certificate and a SOC 2 report listed as resources. Both require access approval, so their audit periods, organizational scope, and qualifications are not visible in the accessible pages. GDPR and UK GDPR are presented as compliance frameworks rather than independent security certifications. Additional resources include a network diagram and CAIQ Lite questionnaire, also behind requests. Product pages specify AES 256 encryption at rest and TLS 1.2 in transit. These published controls support the security description but do not replace examination of the underlying reports.
SOC 2 Type II and ISO 27001 certification are stated, with GDPR and CCPA compliance. A Vanta trust center handles requests for the certifications and supplies subprocessor and audit material. No auditor, coverage period or scope appears on the open site. Access to the underlying reports depends on approval through that portal.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The main FAQ identifies OpenAI as the provider behind the contract workflow. The trust center supplies a broader inventory: GPT 4 Turbo with an April 2024 version identifier, and Anthropic Claude 3.5 Sonnet with an October 2024 identifier, both accessed through APIs. The subprocessor list confirms both companies and associates them with AI services. The security guide explains OpenAI's zero retention arrangement, but does not extend that provider specific statement expressly to Anthropic. Public material does not map every feature to its active model or commit to customer notification when a model changes. The inventory therefore discloses providers without a complete change framework.
The engine is described as proprietary, and no model or provider is named for live use. The privacy policy lists artificial intelligence among the services that vendors help with, and the benchmark tested Claude for Word as a comparison rather than as a component. Where inference runs is not stated, and the subprocessor list sits in the trust center rather than on the site.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
DraftPilot Pro starts at £7,200 per year for a minimum of three users, equivalent to £2,400 per user annually. A separate Customer Success Advisory Fee applies without a published amount. Everyday review and chat are unlimited under the package, while Mass Review includes an allowance and optional additional capacity. Pro includes playbooks, workspaces, identity controls, onboarding, and optimization support. Enterprise uses a negotiated organization package with tailored deployment and ongoing support. The posted subscription amount is therefore a real entry point, but it is not the complete first year cost because advisory charges and additional portfolio analysis remain unspecified.
Every route in is a demo request, and no price is listed. The terms set the shape. Fees are fixed in a Services Agreement for an initial term with renewal terms, priced and invoiced in United States dollars, and nonrefundable apart from prorated refunds on certain terminations. Ivo can change fees or add charges at the end of a term with 30 days notice, and the privacy policy describes the business as subscriptions. Implementation takes about a week.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
DraftPilot primarily addresses corporate legal departments handling repeatable commercial agreements. Its enterprise workflow also supports procurement teams and contract managers operating within legal's approved boundaries. The playbook materials cover agreements such as NDAs, services contracts, statements of work, data processing terms, and reseller arrangements. Axiom's deployment extends the audience to lawyers delivering client services, while Raising Cane's demonstrates lease and real estate work. The FAQ describes review across more than 58 languages, including applying a playbook in a different language from the agreement. That breadth is not accompanied by a jurisdiction by jurisdiction account of supported law or tested performance.
The buyer is the in house legal department at large enterprises, and the named customers run across technology, semiconductors, payments, food service, industrials and retail distribution. Coverage is described by document type: the benchmark covers NDAs, MSAs, DPAs and other commercial agreements, and Review handles any document in Word, PDF or Google Docs. Research covers United States sources such as EDGAR, the United States Code, Congress.gov, eCFR and the Federal Register, and UK and EU material from Companies House, Parliament and the Court of Justice. No company size floor, excluded contract type or unsupported jurisdiction is stated, and law firms are not addressed.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
DraftPilot's FAQ says neither it nor OpenAI uses customer data to train models. Its security guide extends that position to contracts and interactions, while the trust center repeats a no training policy. The public customer terms lead to a sign in page and the service agreement requires access approval, so no matching contractual prohibition was verified. The policy is explicit, but the readable evidence does not establish the scope of a binding customer term.
Customer data never trains AI models, according to the home page. The terms carry no matching clause; they let Ivo use customer content to provide the service and use feedback freely. The privacy policy lets Ivo improve its services by analyzing feature use and submitted documentation, and use deidentified or aggregated information for any purpose. Intelligence uses customer agreements to build playbooks and answer repository questions.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The AI posture page distinguishes original contract analysis, marked as having no retention, from generated redlines and comments, which it assigns a 30 day period. The security guide separately says playbooks are stored and OpenAI API inputs and outputs are deleted immediately under its zero retention agreement. These statements concern different data layers. No public setting lets a customer shorten the stored suggestion period or apply zero retention across playbooks and generated work.
Information is kept as long as Ivo has a business or operational purpose, with no period and no customer setting. A contract or document tied to a thumbs down rating is kept for 14 days, then deleted or deidentified unless the law requires otherwise. On request after termination, customer content is deleted within 60 days, subject to ordinary backup and record retention exceptions in the terms.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Workspaces organize individual and team playbooks, and administrators determine who may view, use, or edit them. This gives legal a way to separate ownership of approved positions from business use of those positions. The public instructions do not establish matter based retrieval restrictions, conflict walls, or inheritance of a document management system's permissions. Playbook access controls therefore provide a narrower form of separation than a documented ethical wall around client files.
Intelligence offers separate rooms for projects, acquisitions and business units to control access and the scope of analysis. Customers also assign user roles and permissions. The rooms provide a way to separate contract collections inside the service, but the permission inheritance, administrator setup and enforcement at retrieval time are not described. No automatic inheritance of a source document system's ethical walls is specified.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No readable public commitment establishes whether DraftPilot tells a customer before responding to a subpoena or other demand for customer material. The current terms and privacy links lead to SharePoint sign in, while the trust center's service agreement and DPA require access approval. Its security controls and no training policy do not answer this notice question. The finding records the access limit and does not determine what the negotiated agreement might promise.
The Legal Process clause of the terms lets Ivo respond to subpoenas, warrants, liens and other legal orders about an account, without responsibility for the customer's resulting losses. Where permitted, Ivo gives reasonable notice that it received the order. No transparency report is offered.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The research guide describes a curated network containing legislation, secondary sources, and legal commentary across more than 150 jurisdictions; the FAQ gives a larger jurisdiction total. Answers expose the links used, so the reviewer can inspect their immediate basis. A public inventory of named collections, licensing permissions, and update schedules is not supplied. The product therefore describes geographic reach and source categories more clearly than the rights and maintenance arrangements behind the research network.
Assistant answers from more than 100 legal sources. For the United States these include EDGAR and SEC filings, the United States Code, Congress.gov, eCFR and the Federal Register, and UK and EU questions draw on Companies House, Parliament and the Court of Justice. No license basis or update schedule is given. Most of the product's material is the customer's own executed contracts and playbooks, with Playbook Builder citing each position back to its source agreement.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
DraftPilot gives users a source list for research answers and asks them to identify the relevant jurisdiction. Those links allow inspection of the cited material, but the public research guide does not describe subsequent case history, treatment flags, or a licensed citator. A real source can still be superseded or limited by later authority. No product mechanism for resolving that separate currency question was identified in the research, FAQ, or trust material.
Assistant and Review retrieve case law and statutes with citations, described as verified, and Assistant reports on changes in the law. Whether a cited authority has later history or has been superseded is not flagged.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The trust center describes grounding and output safeguards, but it does not specify an abstention response when the curated network cannot support an answer. The Issues Report assigns risk to contract departures; that risk describes the agreement against a playbook, rather than model confidence or missing support. Reviewers can reject suggestions and inspect sources, yet those human controls do not show that the system itself refuses an unsupported legal assertion.
Review gives one recommendation per topic with the reasoning and source behind it, and a user can rate an answer down after the fact. No behavior is described for a question the product cannot answer from its sources, and no confidence measure is shown.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin contains no entry naming DraftPilot or Draft Pilot. The database concerns judicial decisions involving hallucinated AI material and records implicated tools when identified. DraftPilot does provide legal research as well as contract drafting, so source accuracy remains relevant even though its principal workflow concerns negotiation. The absence of a named case does not test its research answers, proposed clauses, or handling of later legal authority.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Ivo or Ivo AI, Inc. Its products review and manage contracts for in house legal teams.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
DraftPilot gives legal control over approved positions, access rights, and exceptions, and it describes a supervised role for business reviewers. Those operating controls address practical oversight, but the published enterprise and research materials do not map them to a named bar opinion or jurisdiction's professional conduct guidance. In particular, no client consent method or fee treatment framework is tied to a specific professional rule. Product supervision should therefore be distinguished from demonstrated guidance alignment.
The terms require use under the direct supervision of a lawyer representing the customer. Their No Legal Advice clause says the service provides general legal information, forms no attorney client relationship and cannot replace professional advice. Ivo does not guarantee the accuracy, completeness or timeliness of legal material. A named bar opinion or jurisdiction specific ethics guidance does not accompany that contractual supervision requirement.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Axiom's published DraftPilot offering attaches a $250 monthly technology fee to qualifying client engagements and explains that its lawyers use the tool to save time on contract work. Its white paper explicitly presents those gains as a client benefit. This identifies a disclosed software charge reaching the client through the legal service arrangement, rather than only an internal corporate efficiency claim. DraftPilot's own subscription pricing is separate, and no universal billing policy for other customers is stated.
Ivo is sold to in house legal teams at large enterprises, with Atlassian, Canva and CDW as its featured customers. Its time claims are aimed at those teams. The home page promises review, redlines and insights from contracts in minutes. In Ivo's benchmarking study the attorney took 10 hours for the redlining tasks, while Ivo averaged 2 minutes and 45 seconds a contract.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A public register names 12 providers and their roles, including OpenAI, Anthropic, hosting, email, analytics, and business support services. The trust center also exposes policy summaries and lists a service agreement, DPA, security reports, and governance policy for access requests. These resources provide material for vendor diligence. They do not include a complete client notification or consent package explaining how a law firm's proposed use satisfies a particular client's outside counsel requirements.
The subprocessor list and security documents sit in a Vanta trust center where copies of the SOC 2 Type II and ISO 27001 certifications are requested. The privacy policy confirms that AI providers are among Ivo's service providers without naming them, and no client facing disclosure material is offered. Requests pass through the portal's access process before the reports are supplied.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Word tracked changes and comments preserve proposed revisions, while research answers expose their source links and the Issues Report identifies clauses, problems, risk, and possible responses. These are useful components of a review record. Inserted changes appear under the user's Office name, so the file alone does not label which work came from AI. No single export combines the generating model, retrieved authorities, and human verification for a court disclosure.
Playbook Builder cites each drafted position back to the agreement it came from, Review gives the source behind each recommendation, and redlines land as tracked changes a person accepts. The model behind a passage is not recorded, and no export for a court filing is offered.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose DraftPilot if
- Lawyers want later review rounds concentrated on the counterparty's tracked changes.
- The team needs to adjust its playbook while working through an agreement in Word.
- Business reviewers will use legal approved positions with an explicit exception route.
Choose Ivo if
- Negotiation positions should draw on comparable deals from the organization's own history.
- One review needs a combination of global, regional, or contract specific playbooks.
- Legal work is split between Microsoft Word and Google Docs.
In summary
DraftPilot
DraftPilot supports the successive rounds of an agreement, including distinguishing authors' tracked changes and concentrating on incoming edits. The AI Legal Index identifies this later round focus as a useful part of its negotiation workflow. Lawyers can update playbooks during review and retain control over exceptions when other teams participate. AI Chat handles drafting and contract questions, and research answers link to their source material. The primary editing surface is Microsoft Word.
Ivo
Ivo's Review service combines company standards with previous agreements and the circumstances of a new transaction. The AI Legal Index highlights its filtering of historical comparisons by governing law, agreement type, party role, and industry. Playbook Builder links generated positions back to the agreements that supplied them. A review can combine three playbooks while consolidating overlapping recommendations. Users work in Word or Google Docs, with Assistant available for contextual drafting and questions.
Questions buyers ask
How does Ivo choose which past agreements to compare?
It narrows the historical set by contract type, governing law, the customer's role as a party, and industry. The purpose is to compare the incoming position with relevant previous negotiations. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Can DraftPilot focus on a later counterparty markup?
Yes. It distinguishes authors' tracked changes and can concentrate a later round on the counterparty's edits. Reviewers can also adjust the playbook without leaving Word. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Can Ivo combine an MSA standard with a regional overlay?
Its Review product allows up to three playbooks in a single review and consolidates overlapping recommendations. The product gives a global playbook plus a regional overlay as one example. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Does either product require every playbook position to be entered manually?
No. Both generate playbooks from existing material. DraftPilot accepts prior agreements, markups, templates, and policies; Ivo's Playbook Builder derives positions from agreements and cites their originating contract. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Ivo's historical benchmarking uses the customer's agreements. It should not be confused with a general market benchmark or a guarantee that a prior negotiated position is appropriate for a new deal.