O
Orbital
Orbital is an AI platform for commercial real estate legal work, sold to the real estate practices of law firms, to real estate businesses such as investors, developers and REITs, and to corporate occupiers managing property portfolios. Founded in 2018 as Orbital Witness, the company now trades as Orbital from offices in New York, London and Los Angeles. The platform reviews title commitments, surveys, leases, CC&Rs and purchase agreements together to surface issues.
It abstracts and compares leases, drafts from a firm's own forms, compares redlines, plots legal descriptions and easements against parcels, and keeps deal parties aligned on documents and deadlines. Findings link back to the source documents, and Orbital says attorneys remain responsible for the legal analysis and the final decisions. Documents can be brought in from iManage and NetDocuments. Orbital says more than 5,000 real estate professionals use it across more than 250,000 transactions a year.
The security page states ISO 27001:2022 and SOC 2 Type 2 certification and that customer documents are never used to train AI models. Pricing is not published.
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.
Orbital's platform pages describe four modules for commercial real estate legal work. Asset Intelligence reviews title commitments, surveys, leases, CC&Rs and purchase agreements together to surface issues and verify findings. Property Visualization plots legal descriptions and easements against parcels. Drafting and Negotiation drafts from a firm's own forms, compares redlines and produces closing checklists and closing packages.
Deal Coordination keeps parties, tasks, deadlines and documents aligned. The first three turn on the system reading and interpreting legal documents, and the platform page counts more than 40 prebuilt workflows, from title and survey review to lease abstraction and loan agreement analysis. Deal Coordination is the one module that would work without the models, and it organizes the work the models produce. The privacy policy separately names Orbital Copilot as a product that runs on OpenAI.
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.
Orbital's platform page says all findings are linked back to the underlying source material and drafting changes so teams can review and verify them. The law firms page says outputs are linked to source materials so attorneys verify in seconds, with source citations and audit trails for checking findings. A reader can open that grounding, because the source is the title commitment, survey or lease the team uploaded. No measurement is published of how often a finding is wrong or missed.
The one figure on the platform page, a 70 percent average reduction in review time reported by customers, measures speed rather than accuracy. No benchmark, error rate, test set or account of failure modes is published on the platform, law firms, security or customer story pages, and the method behind the links is not described beyond the statement that findings trace to documents. The product does not cite case law, so the risk is a missed or misread encumbrance rather than an invented authority.
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.
Orbital's platform page says attorneys and real estate teams remain responsible for the legal analysis, negotiation strategy and final decisions while Orbital automates the document heavy and administrative tasks, and that outputs come with tracked changes and clear audit trails to keep lawyers in control. The law firms page adds that outputs are linked to source materials so attorneys can verify and sign off while retaining full control over the final work product.
The page for real estate businesses says legal experts retain oversight over all decisions while the leasing, development, transactions and asset management teams work from the same structured output. The review surfaces are linked sources, tracked changes and an activity record. Nothing published says which steps run unattended across the 40 workflows, whether a draft or redline can go to another party without a lawyer's approval, or what happens after a finding turns out to be wrong.
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.
The Seyfarth Shaw story, published in September 2026, quotes five of the firm's lawyers and its chief data and AI officer. It reports that in the first four months the firm's licenses doubled and every trained lawyer was active within the first quarter. It also reports more than 900 documents analyzed and more than 400 reports generated in three months, figures that measure use rather than time or quality. The Clifford Chance story describes title due diligence across thousands of properties on a deal with three weeks to close.
The BCLP and Vinson & Elkins stories quote named innovation leads and partners without figures. The platform page reports a 70 percent average reduction in review time across customers with no customer, period or method behind it. According to the home page, more than 5,000 real estate professionals use Orbital across more than 250,000 transactions a year. No measured result is published against a stated method, and no measured outcome is attributed to a named customer.
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.
Orbital's security page states that customers' documents and data are never used to train AI models and that content stays confidential by design, and according to the home page, SSO, MFA and role based access restrict matters to authorized users. The privacy policy, last updated 22 March 2025, says Orbital Witness Limited acts as data processor for personal information that clients enter into its applications. No customer agreement, terms of service or data processing agreement is published on the site, and the sitemap lists privacy and security pages and no terms.
Nothing published addresses privilege or work product, how documents are separated between customers, how long uploaded documents are kept, or what OpenAI, which the privacy policy names as the provider for Orbital Copilot, may retain. The training statement sits on a marketing page rather than in a published contract.
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.
Orbital's platform page says attorneys and real estate teams remain responsible for the legal analysis, negotiation strategy and final decisions while Orbital automates the document heavy tasks. The law firms page says attorney judgment and oversight remain at the center. Orbital is also sold to real estate businesses and corporate occupiers. Its page for them describes leasing, development, transactions and asset management teams using the findings without waiting for legal, with legal experts retaining oversight over all decisions.
Nothing tells those users that an output is not legal advice or when to take it to counsel, and no customer terms are published where such a statement would usually sit. The customer stories cover deals in the United States and the United Kingdom, and no page states which jurisdictions the title and lease analysis supports.
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.
No AI governance position is published. The about page describes the approach as combining real estate expertise with responsible, explainable AI, and the security page says Orbital supports responsible AI adoption across real estate and legal, but neither phrase is backed by published principles, an accountable owner, a testing regime before release, or any finding about uneven output across property types, jurisdictions or document quality.
The ISO 27001:2022 and SOC 2 Type 2 certifications cover information security, which is a different subject. The about page says the workflows are built by legal engineers who are former real estate lawyers, which describes who designs the product rather than how its models are evaluated or who answers for them. The title findings feed closing decisions.
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.
Orbital's security page states that all data is encrypted at rest and in transit, that SSO, MFA and IP allow listing are supported on the commercial products, and that independent security experts carry out regular penetration testing. The privacy policy, last updated 22 March 2025, says Orbital acts as processor for personal information entered into its applications. It keeps personal information as long as needed for the purpose plus a further period to enforce its rights.
It shares data with cloud hosting providers such as Microsoft Azure and Google Cloud and, for Orbital Copilot, OpenAI, alongside logging, support, analytics and email vendors described by category. No retention period or deletion route for documents, prompts or outputs, no named subprocessor list and no incident notification practice is published on those pages or on the home and platform pages, so how long title files stay on the platform and who is told when something goes wrong are not stated.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Nothing is published on who bears the loss when an output is wrong. No terms of service, customer agreement, warranty, indemnity, limitation of liability, insurance statement or remedy for a missed title defect or a misread lease clause is published on the home, platform, law firms, real estate businesses, about or security pages, and the sitemap lists privacy and security pages but no terms. The legal material on the website is a privacy policy last updated 22 March 2025, which covers personal information and does not address the service or its output.
Any agreement Orbital Witness Limited signs with its customers is not published. The product's stated position is that attorneys remain responsible for the legal analysis and final decisions, which places the professional judgment with the customer and says nothing about the vendor's own exposure, on a platform whose findings feed acquisitions, financings and leases.
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.
Orbital's law firms page says integrations with iManage and NetDocuments allow teams to bring documents into Orbital directly from the systems they already use, so documents flow from the firm's document management system into the platform. Nothing published says whether anything flows back, such as reports, abstracts or redlines filed to the matter workspace, whether document permissions carry across, or what a firm must configure.
No developer documentation, API reference or help center is published, and the sitemap lists no integrations page. The platform page describes enriching the document stack with real estate data beyond the file. The Clifford Chance story describes checking an asset list against Land Registry records, but no data provider or connection is named. Single sign on is supported. No connection to Word, Outlook, matter management or electronic billing is published.
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.
Neither the tenancy model nor the hosting region is stated. The privacy policy names Microsoft Azure and Google Cloud as cloud hosting providers and OpenAI for Orbital Copilot, and says personal information leaves the United Kingdom only for countries the Information Commissioner's Office has assessed as adequate or under appropriate protective contracts. It does not say where customer documents are stored or processed, and the security pages for the United States and the United Kingdom carry the same text and name no region.
No single tenant, private cloud or on premises option, and no choice of region for United States or United Kingdom customers, is published on the home, platform, law firms, security or about pages. The company serves real estate deals on both sides of the Atlantic from offices in New York, London and Los Angeles, and publishes whose cloud holds the files but not which country they sit in.
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.
Orbital's security page states ISO 27001:2022 certification and SOC 2 Type 2 certification, the law firms page repeats both, and the security page adds regular penetration testing by independent security experts. The privacy policy describes encryption at rest, firewalls, and OAuth authentication supporting corporate single sign on, which are controls rather than attestations. The security page links a trust center at trust.orbital.tech.
No auditor, certification body, certificate number, audit period or scope statement is published on the home, platform, law firms or security pages, and they do not say whether the reports are open, available on request or held behind a sales conversation.
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 privacy policy, last updated 22 March 2025, lists cloud hosting services such as Microsoft Azure and Google Cloud and, for Orbital Copilot, OpenAI. That names whose models sit under Copilot. It does not say which OpenAI models, whether they are reached directly or through Azure, where they run, or what the provider may retain. The platform pages describe AI optimized for real estate legal work, and the about page describes responsible, explainable AI, without saying whether the title, lease and drafting workflows run on the same provider, on other providers or on models of Orbital's own.
No commitment to notify customers when a provider changes is published, and no subprocessor list naming model providers is published.
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.
No pricing information is published at any level. No price, unit of charge, plan or tier name, minimum term or implementation fee appears on the home, platform, law firms, real estate businesses, about or security pages, and the sitemap carries no pricing page. Every route to buying runs through the request a demo page. The Seyfarth Shaw story says the firm's licenses doubled in its first four months, which suggests seats are part of the model, but nothing on the vendor's own pages states the unit.
The platform serves a single lawyer's title review and portfolio work across thousands of properties alike, so the cost basis could be seats, documents, transactions or properties, and nothing says which. The one economic claim on the site, a 70 percent average reduction in review time reported by customers, is about time rather than 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.
Orbital is built for commercial real estate legal work and sold to three segments. The first is the real estate practices of law firms, with Am Law 100 firms such as Goodwin, Seyfarth Shaw and Vinson & Elkins among those named. The second is real estate businesses such as investors, developers and REITs, including their in house legal, leasing, development, transactions and asset management teams. The third is corporate occupiers managing property portfolios.
Use cases are named as acquisitions and dispositions, leasing and development, with title and survey review, lease abstraction and comparison, loan agreement analysis and closing documentation among more than 40 prebuilt workflows. Customer stories cover firms in the United States and the United Kingdom, and the named customers include title companies such as Stewart Title. Nothing states where coverage stops: which United States states or other jurisdictions the title analysis supports, whether residential property is in scope, and which asset classes the lease work handles beyond the claim of any asset class.
6 public documents
The public pages on file for Orbital, 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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orbital.tech/platform4 signals
Primary Law Corpus Provenance, Good Law Verification, Refusal and Uncertainty Behavior and 1 more
Read Oct 2, 2026
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orbital.tech/privacy-policy2 signals
Prompt and Output Retention, Third Party Request and Subpoena Notice
Read Oct 2, 2026
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orbital.tech/solutions/law-firms2 signals
Bar Guidance Alignment, Court Disclosure Support
Read Oct 2, 2026
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Fabricated Citation Record
Read Oct 2, 2026
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orbital.tech1 signal
Ethical Walls and Matter Segregation
Read Oct 2, 2026
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orbital.tech/security1 signal
Client Data in Training
Read Oct 2, 2026
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.
Orbital's security page states that customer documents and data are never used to train AI models and that content stays confidential by design, and the home page repeats it for Orbital's own models. No terms of service, customer agreement or data processing agreement is published on the site, so the commitment is not shown in a contract.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Nothing on the home, platform, law firms or security pages, or in the privacy policy last updated 22 March 2025, states how long uploaded documents, prompts or outputs are kept. The privacy policy keeps personal information as long as needed for its purpose plus a further period to enforce Orbital's rights, which describes the vendor's own records rather than the documents customers process.
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.
According to Orbital's home page, access controls restrict matters to authorized users; how that is enforced is not published. SSO, MFA and role based access are named; nothing describes how roles map to matters, whether permissions carry across from iManage or NetDocuments when documents are brought in, or how one customer's documents are separated from another's.
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.
Orbital's privacy policy addresses disclosure to authorities and says nothing about telling the customer. It says Orbital may share personal information with government authorities or other third parties where required by law or to comply with a legal obligation. No commitment or reservation on customer notice is published, and no customer agreement is published where one might sit.
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.
The product analyzes the customer's own deal documents and does not retrieve primary law, and no outside source behind its findings is identified on the home, platform, law firms or about pages. The platform page says it enriches the document stack with real estate data beyond the file without naming the data or its provider, and a customer story mentions checking an asset list against Land Registry records.
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 product does not retrieve or cite case law or statutes, so no check of subsequent history applies to its output, and none is described on the home, platform or law firms pages. Its findings link to the customer's own title, survey and lease documents.
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.
Nothing on the home, platform, law firms or security pages describes what the product does when the documents cannot support a finding. The platform and law firms pages say findings link to source material for verification, which supports checking an answer but is neither an abstention path nor a confidence signal.
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 Orbital or Orbital Witness, and no court order, opinion or disciplinary record names either as the source of fabricated authority. The product reviews and drafts transactional documents rather than court filings. 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 public material on the home, platform, law firms, real estate businesses or security pages refers to lawyers' professional or ethical obligations. The platform and law firms pages say attorneys remain responsible for the legal analysis and final decisions and keep control of the final work product, which describes the workflow rather than any rule of professional conduct, and no bar or regulator guidance is named.
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.
Orbital is sold to law firm real estate practices whose review work is billed to clients, and its published position is a time saving claim. The platform page reports a 70 percent average reduction in review time reported by customers, and the law firms page promises to get through the document work in a fraction of the time. Nothing addresses what happens to the client's bill or how AI assisted work is recorded; the in house teams Orbital also sells to bill no client for the work.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
This signal has not been recorded for this vendor yet. It is not a finding either way.
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.
Orbital is built for transactional rather than court work. The law firms page says source citations and audit trails let legal teams verify findings against the underlying documents, and the platform page describes tracked changes and audit trails. Nothing published offers a per document export of which model produced an output and what a person verified, and court disclosure is not addressed.