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BoostDraft
BoostDraft develops Word based tools for contract drafting and review, with separate editing, comparison and AI review services. The original editor handles defined terms, internal references, numbering and formatting through local processing. BoostDraft Compare reviews changes across Word, PDF, Excel and PowerPoint files and can export tracked changes. Added in 2026, BoostDraft AI analyzes contract risks, proposes revisions, summarizes agreements, translates text and answers questions inside Word.
It can use a customer's templates and policies to focus review on deviations from preferred terms. Lawyer supervised prompts shape its instructions, and reviewers can move from a finding to the relevant passage and apply a proposed edit or comment. The AI service masks company names, addresses and transaction terms before processing and states that file information is not retained or used for model training. It supports Japanese, English and Korean analysis.
The company's customers include law firms and corporate legal departments, but its older proofreading case studies do not establish results for the new AI service. Founded in 2021 and headquartered in Tokyo, BoostDraft also maintains a San Francisco office. Regional pricing and operating system support differ, and AI processing locations are unspecified.
BoostDraft, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. 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.
BoostDraft separates rule based editing from generative contract review. The established Word editor handles formatting, defined terms and internal references, while BoostDraft AI adds risk analysis, proposed revisions, summaries, translation and chat. The AI service can compare an agreement with a customer's template or policy and focus attention on deviations. Those tasks depend on models interpreting content, rather than simply correcting numbering.
Removing the AI would still leave the editing product and BoostDraft Compare, which compares Word, PDF, Excel and PowerPoint files. The company began offering the AI review service in 2026 alongside those existing tools, making content analysis a distinct capability within the wider drafting product family.
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.
BoostDraft AI uses lawyer supervised prompts and customer supplied templates or policies to identify contract risks and propose changes. The review can reflect the party's position and the organization's own standards, and highlights lead the reviewer to relevant text. That establishes context for a recommendation, without a measured legal accuracy result or a described retrieval process linking answers to primary authority.
The company's review guidance recognizes that generated clauses can introduce fabricated obligations, unsupported concepts and inconsistent references. It calls for verification against the agreement and approved playbooks. No test set, hallucination rate or method for determining the legal correctness of a proposed revision accompanies the current AI service.
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 review workflow stays inside Word, where users inspect highlighted passages, move to the relevant text and apply proposed revisions or comments to the agreement. Customer policies and templates provide constraints for risk analysis, while the English feature description says the level of AI involvement remains under user control. BoostDraft's guidance assigns approval of business exceptions to people and treats generated language as draft material requiring legal review.
These are concrete review surfaces and a stated division of responsibility. The product does not specify circumstances that automatically stop an unsupported answer or a route for escalating a faulty recommendation after it has been applied.
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.
Farella Braun + Martel and Silicon Legal Strategy describe using BoostDraft for proofreading, definitions, references and formatting. Silicon Legal reports approximately 10 percent less total contract review time, while Farella describes deployment through its internal software center and adoption among transactional lawyers. These accounts establish use of the editing product, but do not identify deployment of the AI review service introduced in 2026.
The October announcement's 1,000 cumulative paying companies also covers all three services together. No named customer account or measured production result isolates the current generative review, translation or chat functions. The earlier editor's outcomes therefore remain distinct from the AI service's performance.
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.
BoostDraft AI masks confidential information before transmitting content to AI. The stated examples include company names, addresses and transaction terms, and anonymization is included as a standard feature. The product description also says information from the file is not retained or used to train models. These are concrete handling commitments for the AI service, separate from the older editor's ability to work entirely on the device.
The processing provider and contractual scope of the training prohibition are unspecified. No matter level access controls, privilege preservation process or work product treatment accompanies the description, and it does not establish the retention treatment of every chat or generated response.
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.
BoostDraft is designed for legal professionals working on contracts, with lawyer supervised prompts and review inside Word. Its drafting guidance says people remain responsible for business judgment and approval of exceptions, and generated language requires legal review before it becomes part of a final agreement. That gives users an operational role in the workflow. The product and commercial terms do not establish a distinct boundary between software assistance and legal advice, identify jurisdictional restrictions on the service, or allocate professional responsibility through a specific ethics framework.
Japanese, English and Korean analysis describe supported languages rather than authorization to provide legal services in those jurisdictions.
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.
The product design separates deterministic formatting from AI analysis and human judgment. BoostDraft's October announcement explains that changes to formatting should not alter meaning, while content review can involve broader judgments. Confidential information is masked before AI processing, and lawyer supervised prompts provide a legal context for recommendations. The company's workflow guidance also reserves exceptions to organizational standards for human approval.
These principles identify intended safeguards, but do not define a model governance program. There is no named owner for model behavior, pre release evaluation protocol or result describing uneven performance across agreement types, languages or client populations. The team's legal expertise alone does not establish those controls.
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.
The AI service states that information from contract files is neither retained by the AI nor used for training, with automatic masking before transmission. The privacy policy separately permits service delivery and creation of anonymous or statistical information, and provides routes to request correction, deletion or suspension of personal data use. Those general rights do not define the complete AI data lifecycle. Prompt and output storage, operational logs, access administration and incident notification remain unspecified.
The Japanese privacy policy names advertising providers, but those entities are not identified as processors of contract content. A complete AI subprocessor list and deletion schedule for residual service data are not available.
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.
The English commercial notice promises a corrected version when the software has a serious defect. It also excludes convenience refunds and continues charges until the end of a subscription term after cancellation. These provisions address software delivery and payment, rather than the consequences of an incorrect AI risk assessment or proposed clause. No allocation of loss for generated legal output, AI indemnity, liability cap tied to that output or professional warranty accompanies the current service description.
The Japanese commercial notice identifies the seller, payment process and delivery timing without adding those remedies. A software correction commitment therefore does not establish recovery for harm caused by reliance on a recommendation.
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.
Microsoft Word is the principal working environment for BoostDraft. The editor scans the active agreement, groups potential errors and moves the user to a selected passage. Suggested corrections can be applied to the file, while the AI service inserts proposed revisions and comments into the agreement without a separate review window. Existing Word add ins can remain in use. BoostDraft Compare accepts several common office formats and can export tracked changes or PDF results.
These features keep drafting and review in the lawyer's existing editor. No detailed iManage, NetDocuments or practice management synchronization process is identified, including permission inheritance or movement of matter metadata between systems.
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.
The original editor and BoostDraft Compare can operate locally without sending contract content to a cloud service. BoostDraft AI follows a separate path, masking confidential information before passing content to AI. Its processing region, provider location and tenant architecture are unspecified, so the local editor's deployment cannot establish residency for the AI service. Platform support also differs by regional offer.
The English feature page requires Windows 10 or later, Office 2016 or later and .NET Framework 4.7.2 or later, with no Mac support. The Japanese pricing FAQ allows Windows and Mac while noting that available functions differ. Neither statement defines feature parity for AI across operating systems.
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.
BoostDraft's security approach emphasizes reducing movement of contract content. The editing and comparison tools can run on the device, and the AI review service masks sensitive details before processing. Its product description also rejects retention and training use of information from files. Those are product design and data handling claims, rather than independent security attestations. No SOC 2 report, ISO security certificate, named auditor, assessment period or defined audit scope accompanies the current product, pricing and privacy material.
The privacy policy identifies a contact for personal data questions, but does not provide a trust portal or a route to an independent report.
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.
BoostDraft AI performs contract analysis, translation, summarization and chat after confidential details have been masked. Lawyer supervised prompts and customer policies shape the task, but neither identifies the underlying model. The current product description does not name a foundation model family, model version, inference provider or hosting region. A promise that file information will not train models also does not identify who operates those models.
The earlier editor's local processing is a separate design and cannot establish the generative service's supply chain. No customer notification commitment explains how a change in model or provider would be communicated to firms relying on the service.
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.
BoostDraft's English offer uses a subscription per user without a minimum seat requirement. The Japanese pricing structure instead describes monthly charges per device, with an additional charge for English language functionality and no initial fee. Numeric subscription amounts are supplied through a quote or purchase process. The Japanese page includes customer support and feature sessions, but leaves trial arrangements and contract duration to individual inquiry.
Neither regional page supplies a separate numeric rate for BoostDraft AI. The English commercial notice excludes refunds after purchase and continues service and fees until the contracted term ends. The charging structure is therefore visible, while the total depends on the selected regional offer and scope.
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.
BoostDraft serves law firms and corporate legal departments reviewing agreements in Word. Named users include Farella Braun + Martel's transactional lawyers and Silicon Legal Strategy, whose clients include technology startups, founders and venture investors. Corporate testimonials include Kikkoman, LY Corporation and Tokio Marine. The AI service supports Japanese, English and Korean analysis, including contract risks, template comparison, translation and suggested revisions.
These uses are centered on drafting and review rather than primary law research or court case management. The material does not define limits by contract type, jurisdiction or firm size, and the company's total customer figures cover the wider editing and comparison family rather than AI users alone.
8 public documents
The public pages on file for BoostDraft, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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boostdraft.com/ja/ai-review4 signals
Client Data in Training, Prompt and Output Retention, Primary Law Corpus Provenance and 1 more
Read Oct 15, 2026
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Billing and Fee Posture
Read Oct 15, 2026
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boostdraft.com/ja/news/202610011 signal
Bar Guidance Alignment
Read Oct 15, 2026
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boostdraft.com/ja/privacypolicy1 signal
Outside Counsel Guideline Readiness
Read Oct 15, 2026
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boostdraft.com/privacypolicy1 signal
Third Party Request and Subpoena Notice
Read Oct 15, 2026
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boostdraft.com/product/compare1 signal
Court Disclosure Support
Read Oct 15, 2026
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Good Law Verification
Read Oct 15, 2026
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Ethical Walls and Matter Segregation
Read Oct 15, 2026
Price on request
- BoostDraft's English offer charges a subscription for each user, with no minimum number of users.
- The Japanese offer charges monthly by device, with English language features costing extra.
- The Japanese plan has no initial fee and includes customer support.
- Neither offer states a numeric subscription price or a separate rate for BoostDraft AI.
- The English purchase terms exclude refunds and keep charges running until the agreed term ends.
The English feature page describes a subscription per user and no minimum seat commitment. The Japanese pricing page uses the number of devices multiplied by a monthly fee, with an additional charge for English language functionality. It states that no initial fee applies, while customer support and feature sessions are included. Monthly rates, trial arrangements and contract duration require individual inquiry. The commercial notice places the price in the purchase process and treats tax separately.
Neither regional offer specifies a numeric AI service rate, so the base editor's commercial structure does not establish the price of every AI configuration.
Implementation: No initial fee applies to the Japanese offer. Setup involves a supplied installation link and product key, an online feature session and an electronically signed application. The English page describes installation in a few clicks without identifying a separate implementation amount.
Confidentiality and data terms: The AI service's anonymization and restrictions on retaining or training with file information are described as standard features. No premium confidentiality tier or separate contractual AI data addendum is identified. The general privacy policy applies to personal information across the company's services unless a separate policy governs a particular service.
Note: Numeric prices remain unavailable before an individual quote or purchase step. The regional charging units differ, and the Japanese page's Windows and Mac support allows different functions on each platform, while the English page lists Windows requirements. The English commercial notice offers no convenience refunds and continues service and charges to the contracted end date after cancellation. These terms do not establish a uniform worldwide package or an AI usage allowance.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A public policy or trust page states no training on customer content, with no matching term located in the published agreement.
BoostDraft AI states that information from a contract file is not used to train models and is not retained on the AI side. The service also masks confidential details before processing, but no matching customer agreement clause or named model provider establishes the full contractual chain. The older editor's local operation is a separate safeguard and does not, by itself, determine the training terms governing generative review.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
The AI review service says file information is not retained after being passed to AI, with anonymization applied before transmission. It does not define a retention period for chat instructions, generated answers, operational logs or copies kept by the application outside the AI processor. The general privacy policy supplies correction and deletion routes for personal data, without identifying a customer setting that controls the complete prompt and output lifecycle.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
BoostDraft works within the agreement in Word and can use a customer's templates or policy files for AI review, but no matter permission model or inherited document management access control is identified. The older editor's optional Definition Library stores terms from multiple files locally and can be disabled in settings. That local feature and AI anonymization do not establish how a firm's ethical walls constrain retrieval or reuse across matters.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
The privacy policy permits disclosure when cooperation with a national or local authority is required and obtaining consent could obstruct its legally prescribed work. It also allows disclosure under applicable law, without committing to alert the affected customer before responding to a government request. The product's promise not to retain AI file information narrows one category of data, but does not replace a notice rule for personal information the company does hold.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Sources are identified without stating the license or rights basis.
BoostDraft AI analyzes the agreement together with customer supplied templates or policy files, using lawyer supervised prompts to shape contract review. Those inputs identify the immediate source of organizational standards, while no primary law collection, foundation model training corpus or rights basis is specified. Japanese, English and Korean analysis describe language support; they do not establish a licensed legal database, a jurisdictional research collection or a schedule for updating authorities.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
The editor checks internal references, definitions and section numbering, and BoostDraft AI identifies contract risks against organizational standards. Those functions concern consistency within an agreement rather than whether a cited court decision has been reversed or overruled. No commercial citator, independently computed treatment signal or subsequent history check is identified for the AI service, so its contract proofreading functions do not establish the continuing validity of an external legal authority.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
BoostDraft AI highlights issues, suggests revisions and supports questions inside Word, with policy files and templates providing context for review. No defined refusal response, confidence indicator or unsupported answer behavior explains what happens when that context is insufficient. The company's guidance asks lawyers to verify generated language and retain judgment over exceptions, which establishes a human review responsibility without specifying when the AI declines to produce an answer.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
No identified court order, opinion or disciplinary decision attributes fabricated legal citations to BoostDraft or BoostDraft AI. Damien Charlotin's AI Hallucination Cases database contains no match for BoostDraft or Boost Draft in either the named tool field or the wider case text as of October 15, 2026. This absence does not measure output reliability, particularly for the generative contract review service that began operating separately from the older editor in 2026.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
BoostDraft recognizes law firms' confidentiality duties and the sensitivity of contract material when explaining its local editor and AI anonymization design. Its drafting guidance also keeps business judgment and approval of exceptions with human reviewers. These statements address professional responsibilities in general terms, but no named bar opinion or mapping to jurisdiction specific ethics guidance connects the product's training, review or disclosure controls to a lawyer's governing requirements.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
Silicon Legal Strategy reports that BoostDraft's editing tools save approximately 10 percent of total contract review time, and Farella Braun + Martel describes reduced proofreading work for transactional lawyers. These are law firm customers working for clients, although the accounts do not isolate the newer AI service. The product does not provide a client fee adjustment method, AI work billing record or guidance on disclosing automated work in an invoice.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
The AI product description explains anonymization and states that file information is not retained or used for training, while the general privacy policy describes personal data rights. No client disclosure pack, outside counsel approval workflow or complete list of AI subprocessors accompanies those statements. Google, Meta and Microsoft appear in the Japanese policy as advertising providers, which does not identify them as processors of confidential contract material in the AI service.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
BoostDraft supports drafting and reviewing contracts, with proposed edits and comments applied inside Word and comparison results exportable as tracked changes or PDF. Those artifacts show textual revisions, but do not identify the model, prompts, generated contribution or lawyer verification required for a court disclosure record. No standing order template, certification workflow or dedicated export of AI use is identified for the generative review service, whose main setting is transactional work.