Services · Mobile app development · AI document processing apps
Codeeo provides AI document processing software development New York firms rely on to process client onboarding files, insurance submissions, commercial leases, co-op board packages and litigation productions. The software identifies each document, extracts the entities, clauses, dates and figures your teams need, cross checks them with your records and routes uncertain values to a qualified reviewer. Much of this work in New York sits under the state's financial services cybersecurity rules, so access, logging and data handling are designed in from the first sprint.
We do not have a New York office. Our team works remotely with clients in the city, and discovery, design reviews and acceptance testing all run by video call, measured against accuracy on your own documents.
200+ companies across the US and the UAEFrom a first store to a listed developer
Capabilities
New York concentrates some of the heaviest document work in the country. Banks and asset managers in Midtown and the Financial District collect formation documents, beneficial ownership details, tax forms and source of funds evidence for every new client. Insurers and brokers exchange submissions, loss runs and policy wordings. Large law firms review productions measured in hundreds of thousands of pages and file through the state's electronic filing system. In Manhattan and Brooklyn, property managers and co-op boards assemble purchase applications with tax returns, bank statements and reference letters for every sale.
Many of these organizations are supervised by the New York State Department of Financial Services, and almost all hold private information covered by the SHIELD Act. The capabilities below reflect those obligations. Each can run on its own or as part of one platform with shared review and audit tools.
Certificates of formation, operating agreements, ownership charts, W-9 and W-8 forms and identity documents are read and compared with what the client entered. Missing pages, name mismatches and ownership that does not add up are listed for the onboarding analyst before approval. Periodic reviews reuse the same checks, comparing new documents with what was collected at onboarding.
Onboarding analysts focus on the risk questions, not data entry.
Broker submissions arrive as emails with applications, schedules of values and loss runs attached. The system classifies each file, extracts locations, values, limits and loss history, and builds a clean record for the underwriter, with every figure linked to its source.
Underwriters quote from data they can verify.
Purchase applications for Manhattan and Brooklyn buildings contain tax returns, bank and brokerage statements, employment letters and references. The software checks that every required item is present, extracts income and asset figures, and produces a summary for the managing agent and board.
Incomplete packages are caught before they reach the board.
Office and retail leases across Midtown, Hudson Yards and downtown are long and heavily amended. We extract rent steps, escalations, renewal and termination options, operating expense terms and notice addresses, and track how each amendment changes the base lease.
Asset managers see current terms without rereading every amendment.
Deeds, mortgages and satisfactions for properties in Manhattan, the Bronx, Brooklyn and Queens are recorded with the city's Department of Finance through ACRIS. The system reads the recorded copies your team retrieves and compares parties, block and lot, dates and amounts with your transaction or lending file, listing any mismatch for a title or closing specialist.
Discrepancies in the public record are found before closing, not after.
For New York law firms, the system groups productions by type, custodian, date and party, identifies likely privileged material for attorney review and pulls key passages. Lawyers make every privilege and relevance call.
Review teams start on the documents that matter most.
For firms regulated by NYDFS, we design to the Cybersecurity Regulation, 23 NYCRR Part 500: multi factor authentication, access privileges reviewed regularly, encryption of nonpublic information, audit trails and asset inventories that your security team can include in its own program.
The system fits your existing cybersecurity program.
New Yorkers send documents in Spanish, Chinese, Russian, Bengali, Haitian Creole, Korean and many other languages. We measure extraction accuracy separately for each language you receive and keep original text alongside any translation for fluent reviewers.
Clients are served in the language their documents arrive in.
If extracted data is used to screen job candidates in New York City, Local Law 144 requires an independent bias audit and notices to candidates. We can design the system so resume parsing supports recruiters without scoring or ranking people, or build in the records an auditor needs.
Recruiting tools stay on the right side of city law.
Fields below your confidence threshold go to a review screen with the page image, highlighted source text and proposed value. Reviewer decisions are logged for audit and reused to improve the model over time.
Human judgment is applied where it is needed and recorded.
Who this is for
New York projects tend to begin with a regulated process where people check documents by hand against a policy, and where examiners or auditors later ask how each decision was made. That combination of volume and scrutiny is where document AI earns its place. The four groups below each need a different first release and different controls. In every case the first release is deliberately narrow: one document family, one receiving system and one team of reviewers, so accuracy can be proven before the scope grows. Wider rollout follows the evidence, not a fixed plan written before anyone has seen your documents.
Client onboarding and periodic reviews create a steady flow of entity documents and tax forms. We usually start with document collection and completeness checks, then add extraction of ownership and control details into your onboarding platform. Controls follow Part 500 where you are DFS regulated, and analysts keep every approval decision, with the source page shown next to each extracted fact.
Completeness checks pay back first.
Commercial lines teams receive submissions in every possible format. A first release that turns emailed applications, schedules of values and loss runs into structured records shortens the time from submission to quote. Policy checking, comparing issued policies against the binder and quote, is a natural second phase, because the documents and reviewers overlap. Insurers licensed in New York also answer to DFS, so the same Part 500 controls apply here as for banks.
Submission intake is the usual entry point.
Property management companies across Manhattan, Brooklyn and Queens process board packages and lease files under tight deadlines. We start with board package completeness and financial summaries, then add lease abstraction for commercial and rent regulated portfolios. Applicant financial data is sensitive, so retention periods and access are agreed with you before launch.
Board packages show results within the first release.
Firms handling commercial litigation and transactional work in New York face very large document volumes. Production sorting and contract clause extraction are typical starting points, supporting existing review platforms rather than replacing them. Every privilege, relevance and legal conclusion stays with attorneys, and the system records which documents each reviewer saw.
We support review platforms you already use.
How we work together
Regulated New York firms often prefer a fixed scope first release, because it gives procurement and risk teams a clear deliverable to assess. Once that is live, a monthly retainer covers new document types, model updates and control evidence for audits. Firms with several processes to automate, such as onboarding, periodic review and policy checking, sometimes take a dedicated team for a longer program. We work remotely in every model, with video call reviews and a shared project board. Code, prompts and data stay in your firm's accounts throughout, which also simplifies the exit planning your vendor risk team will ask about.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
We choose OCR, language models and cloud services to fit your security review, existing vendors and in house skills. Data stays in United States regions, and model providers are contracted so your documents are not used for training.
01Mobile
02Data and cloud
03Marketing and tracking
Your written procedure, redacted samples and the names of the people who check documents today.
The most useful starting material is the procedure your staff follow, the checklist they use, and a representative set of redacted documents including difficult examples. We also need to know which systems receive the data and which security reviews the project must pass. With those in hand, the accuracy baseline and the written scope come together quickly, and your risk team can assess the design early. If your firm uses an outsourcing or vendor risk questionnaire, send it at the start; answering it alongside discovery avoids a late hold on deployment.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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