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Lawlift
Lawlift is a document automation platform for law firms and corporate legal departments. Lawyers turn existing agreements into approved templates with questionnaires, conditions, calculations, and reusable clauses. The same confirmed answers generate the same document, including related packages such as company formation papers, resolutions, and employment agreements. AI can combine source versions into a proposed master template, identify variables, suggest rules, and prefill questions from matter material.
Authors review that work before adopting it. Additional tools inside Microsoft Word draft, translate, anonymize, summarize, and review text against selected standards, with proposed edits available as tracked changes. Teams can publish questionnaires for colleagues or clients, restrict access, and maintain bilingual documents from one template. Connections to business systems and export APIs support movement of document data.
Lawlift was founded in 2015 and develops its software in Berlin. It acquired the CASUS Create automation business in November 2025, with migration offered to those customers. CASUS retained its separate AI Associate business. Lawlift's core remains deterministic document assembly, with AI assisting preparation and work that needs more flexible language.
Lawlift, 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.
Alternatives to Lawlift
Vendors in the same categories as Lawlift whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- SSpotDraftSpotDraft is a contract lifecycle platform for in house legal teams and their sales, finance, HR and procurement colleagues.
- BBigleBigle, formerly Bigle Legal, combines contract lifecycle management with Libra, an AI assistant for legal departments and the business teams that work with them.
- BBounselBounsel combines contract lifecycle management with an AI add on for document questions, summaries and clause extraction.
- CCobbleStone SoftwareCobbleStone Software sells Contract Insight, a contract lifecycle management platform in the market since the mid 1990s, with a proprietary AI layer called VISDOM.
- CContractWorksContractWorks is a contract repository for teams that need simple contract management, sold by Onit.
- GGavelGavel, formerly Documate, makes two legal products under its own name.
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.
Lawlift's foundation is a library of approved clauses and rules that assembles documents from questionnaire answers. That workflow remains usable without a language model and produces the same document for the same confirmed facts. AI accelerates preparation by combining existing versions into a proposed template, identifying variables, and suggesting questions and conditions. Optional Word tools also draft, translate, anonymize, summarize, and review language when a fixed template is insufficient.
These are identifiable AI functions, but the enduring value of the platform is controlled document assembly and maintenance of legal know how. The company explicitly presents AI as an addition to that structured foundation.
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.
Deterministic generation limits variation by using approved wording and explicit conditions. That protection applies after a template has been reviewed; it does not establish that an AI generated template or freeform answer is legally correct. The Word review tools highlight passages against selected rulesets and can produce a structured report or proposed revision. Guardrail templates further constrain drafting through a master document and questionnaire.
Lawlift does not publish a reproducible accuracy evaluation, a failure analysis, or a method that links legal assertions to accessible primary authority. Its service terms require users to verify AI results for correctness, completeness, and suitability before use.
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.
Template authors review, refine, and test the clauses, questions, and conditions proposed by AI before adopting them as a firm standard. Confirmed questionnaire answers then drive deterministic generation. Matters outside the approved logic return to a lawyer. In Word, the assistant presents suggested edits for acceptance or rejection; an optional automatic application mode can skip that intermediate approval step. The service terms nevertheless require review of AI results before use, publication, or disclosure to others.
This distinguishes automatic editing from permission to rely on unreviewed work. The model can assist construction and revision, while responsibility for the legal result remains with the user.
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.
Messe Muenchen describes replacing circulating contract versions with centrally maintained bilingual templates available through its intranet. Its reported annual creation time fell from about 800 hours to 100, while maintenance fell from about 700 hours to 150. ECOVIS Keller separately describes generating German company formation documents in 15 minutes instead of a full day and extending approved templates across offices.
The accounts identify customers, workflows, and changes in effort. Neither account supplies a dated measurement interval or an independently repeatable evaluation. Both concern document automation, so their time savings should not be treated as measured benefits from the optional generative AI functions.
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.
Case data entered for approved template generation is encrypted on the user's device with a key unavailable to Lawlift's servers. AI template creation and drafting operate differently: the source content must pass through the service and its model infrastructure for processing. Lawlift promises no training on customer data and no persistence of AI inputs or outputs after the task. Its standard terms also prohibit external AI providers from training on transmitted data.
Professional secrecy arrangements refer to Section 203 of the German Criminal Code. Published access roles do not explain enforcement of conflicts between client matters, and the full processing agreement requires a request.
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.
Lawlift supplies drafting and document automation software to professional organizations rather than delivering legal advice. Its terms describe AI output as neither a professional recommendation nor binding information and require a user to review correctness, completeness, and legal suitability before sharing it. The law firm workflow assigns template ownership to responsible lawyers, requires testing of important matter variants, and directs work outside a template's logic back to legal judgment.
Business colleagues may complete approved questionnaires without authoring the underlying legal rules. These boundaries support supervision, but the materials do not define legal coverage or competence limits separately for every jurisdiction where customers operate.
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 privacy policy sets out principles of transparency, fairness, human oversight, purpose limitation, and data minimization for AI processing. It also describes selection and regular review of external providers for continuing legal and ethical compliance. Those commitments establish a stated position, but there is no published owner for model risk, release approval process, evaluation dataset, or account of uneven performance across languages and legal contexts.
Template approval gives a customer control over its own wording and conditions; it does not reveal how Lawlift evaluates the underlying models. A buyer cannot assess the vendor's bias testing or model incident response from these principles alone.
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.
AI inputs and outputs are described as transient processing data, with deletion when the task completes. Standard template generation instead uses encrypted case data, while accounts and business records follow the broader privacy policy and legal retention exceptions. Sign in supports Microsoft Entra ID or OpenID Connect, and unfamiliar devices require a second authentication factor. Four standard roles or custom roles restrict access.
The privacy policy identifies infrastructure and AI providers, although its wider provider list differs from the current security description. The public materials do not supply a specific customer incident notification procedure or a complete retention schedule for every stored product artifact.
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.
Lawlift's service terms expressly decline responsibility for the correctness, completeness, timeliness, and suitability of AI output. Customers must review results before using them, and losses from unchecked results are excluded except where intentional conduct or gross negligence applies. Ordinary negligence is generally excluded, with exceptions for essential contractual duties, injury, and applicable product liability.
Liability for essential duties is limited to the typically foreseeable loss. AI functions are also excluded from the ordinary availability commitment. These provisions allocate risk but do not give the customer an AI accuracy warranty or a specific indemnity for faulty legal work produced through the service.
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 Word extension can generate documents, apply suggested changes, anonymize content, translate text, and review a draft against selected standards. Accepted suggestions enter Word as tracked changes. Published templates can be embedded in other systems, and export events can send document data to an API. Named connections include Microsoft Power Automate, SharePoint, Excel Online, Docusign, Adobe Sign, and BambooHR.
The MCP offering describes access from an assistant to governed templates and drafting tools, with availability discussed individually. Public product pages explain useful actions, but they do not supply configuration steps or permission synchronization behavior for the full set of named connections.
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.
Lawlift is a hosted application with German servers administered by the company. Its current security description places AI processing on European Union infrastructure and says customer content remains within that region. The service terms are broader: they allow external AI processing outside the European Union under appropriate safeguards and permit customers to connect their own model endpoint. The privacy policy also identifies direct provider services alongside hosted model services.
These differences leave the exact contractual processing route dependent on the selected service and agreement. A firm requiring an absolute European Union boundary should obtain that commitment for its configured AI features and any external endpoint.
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.
Lawlift states that its information security management system is ISO/IEC 27001 certified. The security materials separately describe German hosting, client side encryption for ordinary template generation, transport encryption, authentication controls, and role based access. They distinguish the encrypted template workflow from AI functions that must process readable source content, which prevents treating every operation as inaccessible to the service.
The public security page does not expose a dated certificate, its exact organizational scope, or an audit report. Additional security documentation is available through contact with the company. The certification statement therefore provides less procurement detail than an accessible report and current scope would.
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 homepage identifies GPT, Claude, Noxtua, and DeepL among AI connections. The current security description says managed model processing uses Microsoft Azure and Amazon Bedrock, while the privacy policy also lists direct OpenAI and Anthropic services and an EU processing arrangement for Noxtua. Those sources do not map each feature to a specific current model version and route. Customers may also supply their own model endpoint under the terms.
Lawlift reserves the ability to replace or update models without prior notice when functionality is not materially impaired. Provider identification is therefore available, but stable model versions and advance notice of every replacement are not promised.
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.
A single user subscription is advertised at EUR 99 per month and includes document automation plus AI template creation, drafting, editing, and review. Teams and enterprise deployments require a quote covering users, shared templates, permissions, publishing, and rollout. The terms make AI consumption subject to a contractual budget averaged across active users, with possible restrictions or renegotiation after continued excess use.
They also provide annual and monthly renewal arrangements and prices excluding applicable value added tax. No public amount establishes implementation charges or a complete team deployment price. The entry rate is useful, but a buyer still needs the order to establish usage allowances and total cost.
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.
Lawlift serves corporate legal departments and law firms that repeatedly create documents from approved language. Its examples include nondisclosure agreements, commercial leases, employment materials, bilingual contracts, and German company formation packages. One questionnaire can generate a related set of agreements, resolutions, and schedules, with reusable components maintained centrally. Business users can complete published questionnaires under access restrictions, while lawyers retain control of the content and exceptions.
Current case studies show both corporate legal and law firm use. The platform does not publish an exhaustive jurisdiction matrix or a guarantee that every practice area is supported by supplied legal content; customers generally provide their own templates.
6 public documents
The public pages on file for Lawlift, 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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lawlift.com/company/security4 signals
Client Data in Training, Prompt and Output Retention, Ethical Walls and Matter Segregation and 1 more
Read Oct 16, 2026
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lawlift.com/solutions4 signals
Primary Law Corpus Provenance, Good Law Verification, Refusal and Uncertainty Behavior and 1 more
Read Oct 16, 2026
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Fabricated Citation Record
Read Oct 16, 2026
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Billing and Fee Posture
Read Oct 16, 2026
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lawlift.com/for-law-firms1 signal
Bar Guidance Alignment
Read Oct 16, 2026
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lawlift.com/privacy1 signal
Third Party Request and Subpoena Notice
Read Oct 16, 2026
EUR 99 per month for one user
- One user costs EUR 99 per month before applicable tax.
- AI features are included, subject to the contract's usage budget.
- Teams and enterprise deployments need a quote.
- No public setup fee is stated.
Single user pricing includes document automation and AI features. Teams and Enterprise require a quote for users, shared templates, access control, publishing, and rollout. Contractual AI budgets and renewal terms apply; prices exclude value added tax.
Implementation: No numeric implementation or rollout fee is published. Team configuration and rollout are included in the quotation process, without a stated promise that all setup work is free.
Confidentiality and data terms: No public business associate agreement or healthcare tier is specified.
Note: The EUR 99 amount is a monthly single user rate, not an enterprise minimum or a promise of unlimited AI consumption. The terms permit restrictions or renegotiation after continued excess AI usage and provide separate annual and monthly renewal arrangements.
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.
Lawlift promises never to train models on customer data. The security description extends that position to its AI providers, and the standard terms contractually prohibit external providers from training on transmitted content. The readable terms do not contain an equally explicit prohibition on Lawlift's own training use. The broad privacy glossary discusses AI training generally, so the specific product promise is the relevant policy position. The full processing agreement is supplied on request.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
A specific retention period is published and the customer cannot change it.
AI inputs and outputs are described as deleted when processing finishes, with no persistence after the task. This is a fixed zero retention promise for AI processing rather than a customer adjustable window. It does not mean the platform stores no templates, account records, or encrypted case information. The privacy policy separately permits retention for contractual and legal purposes, and customers must preserve their data before an account ends.
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.
Standard and custom access roles control what users can see and do, and published questionnaires can be restricted by identity, domain, network address, or email. These controls support limited distribution of templates. Lawlift does not explain whether model retrieval enforces client matter walls or inherits document system permissions at the time of a request. Client side encryption for ordinary generation also does not establish that rule for AI processing of source content.
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 of contractual partner data to fulfill legal obligations and identifies recipients such as tax authorities and professional advisers. It does not promise advance notice to the customer when a third party demands its information, or describe an opportunity to contest that demand. The encrypted generation workflow may limit accessible case data, but it does not create a notice obligation for other records or content available during processing.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Lawlift primarily uses the customer's existing agreements, approved clauses, and rulesets to prepare or revise work. It does not present a licensed legal research collection with a list of judgments, statutes, or publishers available through the product. A Noxtua connection identifies a model provider, not the customer's entitlement to every source used in that provider's separate research service. The provenance and licensing of a legal authority corpus for Lawlift answers are not specified.
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.
Document review applies selected rulesets for wording, style, legal standards, and compliance, then highlights relevant passages or suggests edits. That process does not establish whether a cited judgment remains authoritative or has received negative treatment. Lawlift does not identify an integrated citator or explain how changes in case law are applied to an answer. Maintaining approved templates and verifying legal authority remain separate responsibilities for the lawyers using the system.
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.
Lawlift distinguishes deterministic templates from AI drafting and requires people to review the latter before use. It does not describe an abstention response when a model lacks support, a confidence based stopping rule, or a testable procedure for refusing an unsupported legal assertion. A template can constrain which language appears without measuring uncertainty in the model that helped create it. Users therefore need to inspect proposed rules, extracted answers, and freeform revisions themselves.
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 reported citation fabrication incident naming Lawlift appears in the AI Hallucination Cases database reviewed on October 16, 2026. Its template assembly workflow differs from an open legal research answer, but its AI drafting and review functions can still generate text that needs verification. An absence of a named reported incident does not establish that outputs have never been wrong, and it does not replace a lawyer's review of any authority used in a document.
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.
Lawlift connects its product design to professional secrecy and lawyer supervision, including agreements under Section 203 of the German Criminal Code. Its law firm materials assign responsibility for approved templates and exceptions to lawyers, while the service terms require review before relying on AI output. These are professional responsibility commitments, but they do not map the product to a named bar ethics opinion or explain differences between jurisdictional guidance on consent, competence, fees, and disclosure.
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.
The ECOVIS Keller account describes reducing company formation document creation from a full day to 15 minutes, and Lawlift markets reduced repetitive matter work to law firms. It does not explain how a firm should translate those savings into the client's bill or provide a record of actual lawyer time for that purpose. The subscription price is a software charge, not guidance on whether saved hours or AI expenses can be billed to a client.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
Lawlift identifies model and infrastructure providers and describes its AI processing and no training commitments publicly. The full processing agreement and additional security documentation are supplied through the company. The security and privacy pages differ in the breadth of providers and processing routes they describe, so a firm needs the configuration specific list for a client approval process. No ready client consent or disclosure pack is published alongside those materials.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Suggested revisions can remain as tracked changes in Word, and structured review reports can preserve findings against a selected ruleset. These artifacts help a lawyer reconstruct what changed, but they do not provide a complete document level export naming the model, all retrieved sources, and the person who verified each legal assertion. Lawlift also promises no retention of AI processing inputs and outputs after completion. A filing team must preserve any additional disclosure record through its own process.