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Lexroom

Lexroom is an AI research and drafting platform for legal professionals in continental Europe, sold in Italy, Spain and Germany and working entirely in the local language. Legal research is its core: questions are asked in plain Italian, and every statement in the answer links back to the original source, which the user can open, verify and download. The sources are curated rather than scraped, drawn from institutional legal sources and organized into more than fifteen subject modules validated by partner jurists, and customers buy the modules they need.

Document analysis summarizes filings and contracts and flags problem clauses, and drafting produces documents from the firm's templates or Lexroom's inside Microsoft Word through an add in. A private library lets a customer upload its own filings, doctrine and policies to personalize output. Buyers include law firms, advocates, notaries, accountants, labor consultants, in house teams and public administration. Processing runs on servers in the European Union, with the principal server in the Netherlands, and Lexroom names Google and OpenAI as its AI providers.

Named customers include Satispay, Fastweb, Italgas, CRIF, Withers and the law firms LCA and Gatti Pavesi. Lexroom S.r.l. is based in Milan.

Compared with

Lexroom, 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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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.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

Lexroom's Libreria Lexroom is a curated collection of institutional legal sources organized into more than fifteen subject modules, each selected by legal institute and validated by partner jurists, and the commercial unit is access to those modules: the published entry plan buys one Lexroom module for one user. A curated legal database is a product that functions without any model, and it is what traditional Italian banche dati sell.

Lexroom also states plainly that it does not build its own large language model but uses third party AI. The AI is the mechanism the buyer pays for, layered on a document collection that would still exist without it.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

Every answer is anchored to updated sources that can be verified and downloaded in one click, and every statement links to the original source so the user can open, verify and cite it, according to the research page. Source selection is described: thousands of legislative and case law sources, selected by legal institute and validated by partner jurists, across more than fifteen subject modules built and verified one at a time.

The privacy policy adds that Lexroom always provides the sources that justify the reasoning so the customer can check it. No accuracy figure, test set, benchmark or evaluation is published. The marketing makes an absolute claim in two places: zero hallucinations and zero risks, and on the research page, sources consulted without risk of hallucination.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

Automated decision making under the GDPR is addressed directly in Lexroom's privacy policy. It states that outputs are always submitted to a human operator who must review them before use, so they are not automated decisions in the strict sense. Sources sit behind every statement so a user can verify before relying, the research page says the user decides rather than an algorithm, and the Word add in proposes changes inside the document rather than applying them.

Nothing states what any step completes without a human, what the system does when it is uncertain, or what happens after it is wrong.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Corporate customers include Satispay, Fastweb, Italgas, Mediolanum, CRIF, WST, MDV and Generali, and law firm customers include Withers, LCA and Gatti Pavesi. Four individuals speak on the record with name, role and employer, including Maddalena Malzanni, Legal Counsel Lead at Qonto, and Ferdinando de Martinis, Associate at Gitti and Partners. There are dedicated customer story pages for Qonto, Jet HR and Credem Banca.

Figures are published separately from the customers: 40 percent time saved on repetitive tasks, 2.5 times more documents drafted, and more than 15,000 legal professionals using the platform. Those are aggregate claims with no method, basis or attribution to any named firm, and nothing is dated.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

A commitment to confidentiality in line with privacy law and with segreto professionale sits on the security page, and the privacy policy states that beyond privacy Lexroom protects professional secrecy and confidential information generally. An operational control is attached: efficiency monitoring data is visible to Lexroom staff only in anonymized form so that confidentiality and professional secrecy are not compromised.

Segregation is documented at tenant level. Each customer has a dedicated and exclusive virtual space, private library contents are not shared with other customers, and the privacy policy states it is physically impossible for one customer to reach another's. Google and OpenAI are named and contractually excluded from training on customer prompts. Lexroom itself may use prompts for its own benchmarking and fine tuning after stripping personal and confidential data. Matter level walls inside a single firm are not addressed, although law firms are a named buyer.

Source: Vendor Published
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

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.

Under Lexroom's privacy policy, outputs are always submitted to a human operator who must review them before use, and the research page frames the product as amplifying professional judgment, with the user rather than an algorithm deciding. Coverage is bounded: the platform is stated throughout as available in Italy, Spain and Germany only. No statement that output is not legal advice is published, and the site publishes no terms of service in which such a statement would normally sit.

No bar or professional guidance is engaged: neither Italian Consiglio Nazionale Forense material nor any equivalent in Spain or Germany is named.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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 security FAQ describes Lexroom as fully compliant with the GDPR and the new European AI Act. The privacy policy contains a reasoned analysis of automated processing under Article 22, concluding that outputs are not decisions in the strict sense because a human must review them. A Data Protection Officer is named in full, with chambers, tax code and certified email address, though the role covers data protection rather than model behavior.

There is no governance framework, no owner of model behavior, no account of what is tested before release, and no certification such as ISO 42001. Nothing is published about uneven output across matter types, parties or populations.

Source: Vendor Published
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

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.

Private library files are deleted within 30 days of the end of the relationship, and backup copies on Google Cloud within at most 180 days. Prompts are kept for the duration of the relationship, and customer registry and billing data for ten years under Italian accounting law. Deletion follows the same clock, and data subject requests are answered within 30 days. Data access is limited to a small number of technical staff with special authorizations, with all access and downloads monitored, an enforced password policy, encrypted stored passwords and single sign on over SAML and OAuth 2.0.

Google and OpenAI are named as the AI providers, other recipient categories are listed, and a software bill of materials is available on request. A formal emergency procedure provides notification to the customer as soon as possible by certified email or another agreed secure channel. Encryption is AES 256 at rest with a bring your own key option, vulnerabilities are scanned daily, and external penetration tests run with summaries available on request.

Source: Vendor Published
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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.

Nothing published states who bears the loss when the output is wrong. No terms of service, master agreement or customer contract appears on Lexroom's site. The footer offers only a privacy policy and a cookie policy, and the privacy policy describes the data processing agreement as signed at contract activation rather than published. No indemnity, liability cap, warranty or carve out is stated. Lexroom states that it holds cyber risk insurance with a carrier rated double A by Standard and Poor's, with a copy of the certificate available on request, and that a service level agreement is attached to the corporate plan contract. Neither sets out recourse for a wrong answer; the insurance covers Lexroom's own exposure.

Source: Operator Verified
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

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.

Data flow through the Microsoft Word add in is set out rather than merely named: the privacy policy states that the add in involves no additional data processing and that prompts formulated through it are directed straight to Lexroom without retention by or access from Microsoft or any other intermediary. Single sign on is specified by protocol, compatible with Google and Microsoft accounts and with SAML and OAuth 2.0.

No document management, practice management, email or electronic filing integration is named, no API or developer documentation is published, and no integrations page exists.

Source: Vendor Published
AA on Deployment Model and Data ResidencyDeployment options and data residency are published, including the regions available, what changes between tiers, and where processing happens as distinct from where data is stored.

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.

All data are processed on servers located exclusively in the European Union, the security page states, with the principal server in the Netherlands and backup redundancy across several EU data centers against extreme weather. The privacy policy adds that Lexroom keeps data long term on servers within the European Union. It discloses the one exception precisely: limited transits to the United States for website hosting only, covered by EU standard contractual clauses and the Data Privacy Framework.

The tenancy model is stated, with each customer given a dedicated and exclusive virtual space, and a bring your own key option is offered for encryption. Lexroom operates no data center of its own and relies on cloud services listed in the Italian national cybersecurity agency's digital infrastructure catalog. There is one region and no option outside the EU.

Source: Vendor Published
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

Certification to ISO 27001:2022 is in place. External penetration testing is stated, with auditors described as external and a summary report available on request. Daily vulnerability scanning is described with findings classified and prioritized, and a software bill of materials and a cyber insurance certificate are each offered on request. No auditor is named, no certificate number, issue date or coverage period is published, and no report is downloadable. A trust center at trust.lexroom.ai is linked from the footer and the security page.

Source: Vendor Published
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

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.

Lexroom's privacy policy states plainly that Lexroom does not develop its own large language model but relies on third party artificial intelligence, and that the service therefore transfers data to its suppliers, in particular Google and OpenAI. It adds a contractual commitment about what those providers may do: customer prompts are expressly excluded from the AI suppliers' training under the terms agreed with them as subprocessors.

Where inference runs is addressed at the level of the estate rather than the route, with all processing on EU servers. No model is named, only the companies they come from, and nothing commits to notifying customers when the supply chain or the models change.

Source: Vendor Published
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Pricing starts at 99 euros per month, excluding VAT, on an annual contract. That buys one Lexroom module, one user, up to 200 documents, the Microsoft Word add in, and the possibility of tailored training: a rate, a unit and a term. Above the entry plan, prices are tailored to requirements, so the enterprise range is a sales conversation. Nothing states what implementation or tailored training adds. No module is priced individually, although modules are the unit of purchase. There is no pricing page as such; the figure appears in a demo booking block repeated across the site.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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.

Lexroom gives seven segments their own page: law firms, companies and public administration on the organization side, and advocates, notaries, accountants and labor consultants on the professional side, which covers private practice, in house and government use explicitly. Jurisdiction is bounded and repeated on every page, with the platform stated as available in Italy, Spain and Germany. Subject coverage is counted rather than listed: more than fifteen subject modules are said to exist, each built and verified individually, and modules are the unit a customer buys, but they are not named. No statement of firm size or of what the product does not support is published.

Source: Vendor Published
Sources on file

3 public documents

The public pages on file for Lexroom, 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.

Pricing

From €99 per month

EUR, as published, never converted
  • Lexroom publishes a starting price.
  • It is 99 euros a month, before Italian VAT, and you have to sign up for a year to get it.
  • That buys one person, one subject area of law, and up to 200 documents, plus the Microsoft Word add in.
  • Lexroom sells access by subject module, so if you need more areas of law you buy more modules.
  • Anything bigger than the starter plan is priced by their sales team, not published.

Published entry rate with the unit and term stated; enterprise range withheld. Lexroom's site states a starting price of 99 euros per month, marked as being on an annual contract and excluding VAT. The entry plan is specified as one Lexroom module, one user, up to 200 documents, the Microsoft Word add in, and the possibility of tailored training. Modules are the unit of purchase: the privacy policy confirms each customer can access only the subject libraries selected when the service was bought.

Above the entry plan the same block states that prices are tailored to requirements, so higher tiers are a sales conversation, and nothing states what implementation or the tailored training adds. The figure is in euros, as published.

What changed

Tracked changes at Lexroom

Sep 8, 2026Acquisition / corporatePartially Verified

Lexroom acquired Query Juriste, a French legal AI research company, and Praven Intelekt, a Bulgarian legal AI assistant, in its first acquisitions since founding. Query Juriste brings a research platform connected to more than five million French and European legal documents, with roughly 300 customers and 1,000 paying users; Praven Intelekt brings more than 900 customers and Lexroom's first presence in Central and Eastern Europe. Both founding teams join Lexroom, the acquired brands transition to Lexroom over time, and the company now operates in Italy, Germany, Spain, France and Bulgaria.

Bears on: Firm and Practice CoverageSource

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Permitted, in policy only

Public material states that customer content trains, refines or personalizes models, with no matching term located in the published agreement. Any de identification, anonymization or aggregation qualifier is recorded in the summary.

The Training section of the privacy policy states that Lexroom itself may use customer Prompts for its own benchmarking and fine tuning. Personal data and confidential information are removed first, and the work is carried out only on principles not traceable to identified or identifiable persons. It names fine tuning expressly, which makes it a permission rather than an exception for aggregate data. No published agreement exists to test it against: the site publishes only a privacy policy and a cookie policy, and the data processing agreement is signed at contract activation.

The marketing says the opposite in three places. The home page and security page state that documents and data sent to Lexroom are not used for training, and a Zero Training Policy badge appears in the footer. The security FAQ narrows it, saying uploaded documents and user queries are never used to train global language models. Customer prompts are expressly excluded from the AI suppliers' own training under the terms agreed with Google and OpenAI as subprocessors.

Source: Vendor Publishedpotrà utilizzare i Prompt per lo svolgimento delle proprie attività di banchmarking e/o fine tuningAs of Sep 2, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Disclosed fixed window

A specific retention period is published and the customer cannot change it.

Lexroom keeps prompts for the entire duration of the relationship and afterwards only for the time needed to run its updates. Private library files, where that optional service is activated, are deleted within 30 days of the end of the relationship, with traces remaining only in Google Cloud backup copies which are disposed of within a maximum of 180 days. Customer registry and billing data are held for ten years as required by Italian accounting law, and navigation data for one year.

Two published statements sit against this: a Zero Data Retention Policy badge appears in the site footer, and the security FAQ says documents are not stored permanently. Neither is false on its own terms, since library files are deleted and backups expire, but prompts persisting for the life of the contract is not zero retention, and no retention setting is offered to the customer.

Source: Vendor Publishedi Prompt vengono conservati per tutta la durata del rapportoAs of Sep 2, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

Separation runs at the level of the customer account, under a model Lexroom operates and documents itself. The security page states that each customer has a dedicated and exclusive virtual space, that Lexroom does not share customer data to feed public libraries, and that it does not share it with other customers. The privacy policy goes further on the private library, saying each customer can use only its own and that it is physically impossible to reach a third party's, and adds that prompt data remain segregated inside the user's account.

Access is administered by Lexroom rather than inherited from a source system, with authorization limited to a small number of technical staff and all access and downloads monitored. What is not addressed is separation inside a single customer. Law firms are a named buyer segment with their own page, and nothing published describes walls between matters, teams or individual users within one firm's account.

Source: Vendor PublishedOgni cliente dispone di uno spazio virtuale dedicato ed esclusivo per i propri datiAs of Sep 2, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Disclosure addressed, notice absent

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.

Lexroom's privacy policy addresses disclosure to authorities directly, listing public administrations, supervisory and control authorities and judicial authorities among the categories to which personal data may be communicated, where required by law or by an order of those bodies. It also records that personal data may be used in judicial proceedings to defend Lexroom's own position. Nothing on the privacy policy, the security page, the research page or the home page commits to telling the customer when such a request arrives, or reserves discretion over notice.

The breach notification commitment on the security page, that the customer will be warned as soon as possible and by certified email, addresses security incidents rather than legal process.

Source: Vendor PublishedAutorità giudiziarie (ove richiesto dalla legge o da ordini di detti soggetti)As of Sep 2, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Jurisdictions only

Coverage is described by jurisdiction with no identification of the underlying corpus.

Coverage is described by jurisdiction, and the underlying sources are not identified. The three markets, Italy, Spain and Germany, are stated on every page. The research page describes thousands of legislative and case law sources selected by legal institute and validated by partner jurists across more than fifteen subject modules. The privacy policy adds that the Lexroom Library is a collection of documents from institutional legal sources, divided by subject, with customers accessing only the modules bought.

That gives the character and the curation method but no named source, publisher or database, and no license or rights basis for any of it. Currency is claimed only as sources being up to date. Lexroom's own pages say thousands of sources, while Italian trade press in May 2026 reported a company statement of more than six million verified legal sources, a figure that appears on no Lexroom page.

Source: Vendor PublishedAs of Sep 2, 2026

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

No public material on Lexroom's home page, legal research feature page, security page or privacy policy addresses whether an authority returned by the product is still good law. The nearest claims concern the freshness of the collection rather than the standing of an individual authority: sources are described as updated, official and certified, and the stated purpose of retaining the library is to ensure outputs stay current.

Neither speaks to later history, to legislation that has been repealed or amended, or to decisions overtaken by later Cassazione rulings. The product retrieves legislation and case law directly and presents linked authority as the basis for its answers.

Source: Operator VerifiedAs of Sep 2, 2026

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Nothing on Lexroom's home page, legal research feature page, security page or privacy policy describes what the product does when it cannot ground an answer. No way to abstain and no confidence or grounding indicator is described. The marketing runs the other way, asserting zero hallucinations and zero risks, which is a claim that the situation does not arise rather than an account of what happens when it does. The answer offered instead is verification by the user: every statement is linked to its source so the user can check it, which places the burden of detecting an unsupported assertion on the lawyer rather than on the system.

Source: Operator VerifiedAs of Sep 2, 2026

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

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.

The AI Hallucination Cases database maintained by Damien Charlotin, and Italian and international reporting drawing on it, record no court order, opinion or disciplinary record naming Lexroom or Lexroom S.r.l. This is a statement about the public record rather than a finding about the product. The database is heavily weighted to United States filings and its Italian coverage is thin, so an Italian product is less likely to surface even where an incident occurred.

Lexroom itself cites the phenomenon in its own marketing, with company material reported in May 2026 referring to more than 1,300 documented filings containing AI generated hallucinations.

Source: Operator VerifiedAs of Sep 2, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Not addressed

No located public material engages with bar or ethics guidance.

No public material on Lexroom's home page, legal research feature page, security page, privacy policy or segment pages for advocates and notaries engages with professional or ethics guidance from any of the three markets served, and nothing names the Italian Consiglio Nazionale Forense, the Consiglio Nazionale del Notariato, or any Spanish or German equivalent. Lexroom does engage named instruments, claiming compliance with the GDPR and the European AI Act, and it addresses professional secrecy directly, but both bind the supplier rather than setting out the professional obligations of the lawyers and notaries using the product.

Source: Operator VerifiedAs of Sep 2, 2026

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Savings claims only

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.

Lexroom's home page publishes a 40 percent reduction in time spent on repetitive tasks and 2.5 times more documents drafted, and a named customer is quoted saying the platform is not only a saving of time but a saving of money for the company because she has needed outside counsel less often. No published material addresses how AI assisted work is recorded, billed or disclosed to a client, and no record of AI assisted work for each matter is described.

Lexroom sells to private practice advocates and law firms who bill clients, so the time saved is time that would otherwise reach a client's bill.

Source: Vendor PublishedAs of Sep 2, 2026

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Subprocessors listed

A current subprocessor or model provider list is published.

The model providers are named on a public page: the privacy policy states that Lexroom does not develop its own large language model and transfers data to its suppliers, in particular Google and OpenAI, and records that customer prompts are excluded from those suppliers' training under the terms agreed with them. Categories of other recipients are listed, and a software bill of materials is offered on request. No forwardable client facing disclosure pack is published, the data processing agreement is signed at contract activation rather than published, and no consolidated subprocessor register with entities, roles and regions exists.

Cloud storage providers are given by category rather than by name, although Google Cloud is identified elsewhere as holding backups.

Source: Vendor PublishedAs of Sep 2, 2026

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Not addressed

No located public material addresses court disclosure or verification certification.

Nothing on Lexroom's home page, legal research feature page, security page or privacy policy addresses court disclosure of AI use or any certification that citations were checked by a person. The product leaves a usable trail for the lawyer's own verification: every statement is linked to the source that justifies it, and search history is kept and retrievable. Nothing describes an exportable record for each document covering which model produced which passage, what was retrieved and who reviewed it.

Italian and Spanish courts have not developed the standing order practice that drives court disclosure of AI use in the United States, so the obligation is less established in Lexroom's markets.

Source: Operator VerifiedAs of Sep 2, 2026
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 16, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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