Turbo Law extended its litigation workspace beyond insurance defense, medical malpractice and mass tort to all civil litigation, naming business litigation, M&A disputes, employment, construction and real estate. The same announcement adds connections to NetDocuments, iManage, Clio, SharePoint, OneDrive, Google Drive and Dropbox, so new records such as a deposition transcript flow into a matter's analysis without a second upload.
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Turbo Law
Turbo Law is an AI litigation platform for defense law firms and insurance carriers handling complex matters such as medical malpractice, toxic tort and transportation disputes, and it has added M&A, business litigation, construction, real estate and employment matters. Turbo Law, Inc. is headquartered in San Mateo, California, per its newsroom, while its site terms and privacy policy give an Atlanta, Georgia contact address.
The platform reads the whole matter file and builds a Fact Graph of parties, experts, admissions, defenses and dates, with each entry cited to a line in the file. From it the platform produces chronologies, deposition contradiction reports, privilege flags, motions and discovery responses, case evaluations, settlement value models and carrier status reports, and an assistant answers questions and runs tasks within a matter.
A mass tort intake product prepares short form complaints and plaintiff fact sheets and sorts claimants by qualification. The vendor says attorneys review high stakes outputs before anything leaves the firm, client data never trains shared or public models, and the platform runs in dedicated Microsoft Azure environments with HIPAA business associate agreements; its trust center also lists Google Cloud Platform for hosting.
Turbo Law raised a $3.8 million seed round led by Revo Capital in June 2026, with Treeo VC, BridgeX Ventures and Alchemist Accelerator, and reports more than 2,000 active matters on its home page, up from more than 1,800 at the funding announcement.
Turbo Law, 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.
Turbo Law reads the whole matter file with AI to build its Fact Graph, and every module, from review and drafting to research, strategy and settlement and the assistant, generates work product from it: chronologies, contradiction detection, privilege flags, motions, discovery responses, case evaluations and settlement value models. No underlying case management system works without the models; Turbo Law says the firm's DMS remains the system of record.
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.
Outputs are cited to a line in a source document or the public record, and case law search cites the relevant holdings. The research page says that if a case has been distinguished or overruled, the user will know before citing it, without describing how. Turbo Law says the system continuously checks its own work for missing facts, overlooked issues and inconsistencies, and that every workflow is measured against accuracy standards for its vertical before it ships. No standard, test set or result is published.
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.
Case evaluations, settlement recommendations and motion drafts surface for attorney review before anything goes external, Turbo Law's security page says, and the operating model is stated as the platform proposes, the team verifies and partners decide; key conclusions link to source material for that check. The assistant page says nothing leaves the firm without attorney review, and that the assistant prepares work product but does not serve, file or send it.
The assistant runs tasks in several steps and on a schedule, such as monthly status reports on the first of the month, and its output returns to the team as cited work product. Partners review and approve carrier reports before they are sent, and users confirm the mass tort pre qualification result. No confidence threshold is published.
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.
More than 2,000 active matters are reported on Turbo Law's home page, up from more than 1,800 in its funding announcement, and 100 percent of users are said to report improved quality of work and life. Firms using it are said to report 60 percent fewer nonbillable hours per matter, 10 percent fewer write offs and profitable alternative fee arrangements. The review page cites a 60 percent reduction in time to first position on medical malpractice intake and mass tort files of more than 2,000,000 pages, and the carriers page says reading 40 status reports becomes an hour's work instead of a day's. No customer is named and no method is given for any figure.
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.
The privacy policy says Turbo Law does not assert or waive privilege or work product on the customer's behalf, acts as service provider or processor handling customer content only to provide the services and as the customer agreement permits, limits staff access to authorized personnel for legitimate purposes such as support and security, and bars training on customer content. Tenant isolation means its own team cannot reach customer data without a ticket and client approval, and according to the home page, data access is governed by permissions, ethical walls and privilege aware controls. Neither the customer agreement nor a DPA is published.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The Terms of Use say Turbo Law provides software, not legal services, that nothing creates an attorney client relationship, and that licensed attorneys exercising independent professional judgment should make legal decisions. On the security page, the platform is described as built to make litigators faster, not to practice law. No audience or jurisdictional limits are stated for the platform.
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.
Turbo Law's security page says every drafting and analysis workflow is measured against accuracy standards for its vertical before it ships, and does not ship if it fails; the about page repeats the gate. Its Trust Center lists board oversight briefings, annual risk assessments, quarterly critical system reviews and a board of directors charter. The standards, results and any assessment of uneven performance are not published, and no owner for model behavior is named.
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.
Staff access requires a support ticket and client approval, according to Turbo Law's security page, which also describes encryption at rest and in transit, enforced two factor authentication, exportable logs of every access, query and export kept for one year by default, and HIPAA business associate agreements. The help center adds AES 256 encryption at rest, role based permissions and time stamped logs. Its Trust Center names subprocessors, among them Intercom, Userback.io, Microsoft 365, Microsoft Azure and Google Cloud Platform for hosting, and GitHub, with two more not shown, and lists a customer data deletion record and customer facing logs among its documents.
Deletion and retention of customer content are governed by a customer agreement that is not published, though the home page FAQ says data is retained for one year unless otherwise agreed. The privacy page carries two different policy texts, one covering the platform and one covering only the website.
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.
No published position says what the vendor stands behind. The only published terms govern the website: they cap liability for the site at $100, provide it as is, have the user indemnify Turbo Law for misuse of the site, and choose Georgia law with venue in Fulton County. They say the platform is governed by separate order forms, subscription terms, a data processing agreement and, where applicable, a business associate agreement, none of which is published. Nothing published addresses warranties, indemnities, caps or remedies for the platform or its AI output.
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.
Integration is claimed without named systems. The law firms page says Turbo Law connects to the DMS and case management systems a firm already runs and builds a single Fact Graph per matter, the home page FAQ says the firm's DMS remains the system of record, and the help center says that with a case management integration, case information and documents are imported automatically, a one way flow. Press material says the platform plugs into existing case files, and carrier integrations are listed for firm wide rollout.
No document management, case management, electronic billing or carrier system is named. PACER and docket monitoring, and batch operations across matters, are listed as coming soon. Most firms are said to go live in four to six weeks depending on integrations, after a pilot of two to eight weeks with a forward deployed engineer.
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.
According to Turbo Law's security page, the application and data are hosted in dedicated Microsoft Azure environments and every client environment is logically isolated, which states the tenancy model. The Trust Center also lists Google Cloud Platform for cloud hosting and infrastructure. No region, residency option or processing location for AI calls is published; the privacy policy says information may be transferred to and stored in other countries, including the United States, under EU Standard Contractual Clauses and the UK Addendum or IDTA.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
The Trust Center at trust.turbolaw.ai lists SOC 2 Type II and HIPAA as compliant, sets out control families, includes a SOC 2 system description and offers more than 150 documents on request, and the security page says SOC 2 documentation is available under NDA. Prescient Security appears under Trusted by, with no role stated, and no auditor is named. Controls are described as aligned to the Trust Services Criteria and continuously monitored; no audit period, report date or auditor opinion is published. Single sign on through SAML 2.0 is listed as coming soon.
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 model architecture is described, and no provider is named. Per the security page, each workflow goes to the model best suited to it, and models change as the state of the art moves, with no dependence on a single vendor, on dedicated Azure infrastructure. The about page says the model layer changes underneath while the workflow stays, and that the chief technology officer leads the model routing layer. No model or provider is named, the Trust Center's subprocessor list names no model provider, and no notice of model changes is committed.
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.
Nothing about pricing is published. The site has no pricing page and routes every buyer to a demo request; no unit, structure or figure is stated. The law firms page says the product is priced for the work, not the token, and that pricing is predictable, without a figure, tier or unit, and the carriers page promises results without adding 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.
Turbo Law sells to defense firms and insurance carriers. Its FAQ lists tort and insurance matters across ten types, mergers and acquisitions, business litigation, construction, real estate and employment law, and says it continues expanding into new practice areas; the about page says it builds one vertical at a time. A mass tort intake product serves mass tort teams with short form complaints, plaintiff fact sheets, qualification sorting and a settlement maximization engine. Drafting follows the jurisdiction's local rules. Where the models are weaker is not stated.
6 public documents
The public pages on file for Turbo Law, 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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turbolaw.ai/security4 signals
Prompt and Output Retention, Ethical Walls and Matter Segregation, Refusal and Uncertainty Behavior and 1 more
Read Sep 18, 2026
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turbolaw.ai/privacy-policy2 signals
Client Data in Training, Third Party Request and Subpoena Notice
Read Sep 18, 2026
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trust.turbolaw.ai1 signal
Outside Counsel Guideline Readiness
Read Oct 7, 2026
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Billing and Fee Posture
Read Sep 18, 2026
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turbolaw.ai/product/research1 signal
Primary Law Corpus Provenance
Read Oct 7, 2026
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Fabricated Citation Record
Read Oct 7, 2026
Product updates
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.
The privacy policy and security page say customer content never trains shared, public or foundation models, whether by Turbo Law or any model vendor, and that any tuning on customer content happens only at the customer's direction. The privacy policy says LLM providers are contractually prohibited from training their models on a customer's data for other customers, and according to the home page there is no training on other clients' data.
The security page says this is enforced in contracts, but the customer agreement is not published, so no published agreement carries a matching term.
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 one year default on the security page applies to logs of access, queries and exports, and the home page FAQ says data is retained for one year unless otherwise agreed, without saying which data. The privacy policy leaves retention and deletion of customer content to the unpublished customer agreement and, where applicable, a HIPAA BAA. No period is stated for AI inputs and outputs.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Tenant isolation between customers is claimed. Within a customer, the security page lists configurable ethical walls at firm, practice group and matter level under features coming soon, and one version of the text says they are on the way, while the assistant and carriers pages describe walls as applying now, including walls so panel firms never see each other's work. The help center's permissions page, in a section marked coming soon, shows four roles and nothing at matter level.
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 says information may be disclosed for legal and safety purposes, such as complying with law, protecting rights or investigating misuse, with no commitment to notify the customer first. The customer agreement, which may address this, is not published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Coverage is described by jurisdiction with no identification of the underlying corpus.
Case law research is described as covering federal and state courts, drawn from the public record and public databases, and settlement modeling uses outcomes by jurisdiction, comparable verdicts and settlement matrices such as MDL points grids, bellwether ranges and verdict analytics. No source, database or license behind any of it is named.
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.
Case law search returns citations to holdings. The research page says that if a case has been distinguished or overruled, the user will know before citing it, and names no citator, source or method for that check.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
A behavior rule is stated: the platform will not make a factual claim it cannot cite to the file or the public record, and the assistant page says that if the file does not support an answer, the assistant says so rather than guessing. No confidence signal shown to the user is described.
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.
The AI Hallucination Cases database maintained by Damien Charlotin records no case naming Turbo Law or TurboLaw, and trade press reporting holds no court record addressing fabricated or hallucinated content in its output. This is a statement about the public record rather than a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No ethics opinion, court AI order or rule, or bar guidance is referred to on the site, the Trust Center or the legal pages. The Terms of Use say legal decisions should be made by licensed attorneys exercising independent professional judgment, without naming any guidance.
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.
Billing economics are marketed without disclosure guidance. Fewer nonbillable hours and write offs are claimed, the carriers page says the cost stays where it is, and the platform generates status reports for carriers; nothing addresses how firms should bill or disclose AI assisted work to clients or carriers.
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.
Turbo Law's Trust Center names its subprocessors, among them Intercom, Userback.io, Microsoft 365, Microsoft Azure, Google Cloud Platform and GitHub, with two more not shown, and no model provider is among those named. The privacy policy still says business customers can get the subprocessor list from their account representative. The security page says Turbo Law answers security questionnaires as part of deployment and signs BAAs, and the Trust Center's document set can be requested.
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.
According to the assistant page, every assignment is logged, covering what was asked, what was read and what was produced, and is exportable from the audit trail. Access, queries and exports are logged, and outputs carry line citations to their sources; no record of which model produced an output or who verified it is described.