AI Automation
for Legal,
New York.
Document review, client intake, and billing automation. Built for the compliance requirements of New York.
The workflows that move the needle.
Contract review and clause extraction
Client intake and matter management automation
Billing, time capture, and accounts receivable
Built to spec.
Every automation we ship in New York is engineered around the compliance frameworks that govern legal data in United States.
ABA Model Rules 1.1 (competence) and 1.6 (confidentiality), FRCP e-discovery requirements, and state bar ethics opinions on AI use in legal practice.
We run a data protection impact assessment on every project, document the legal basis for all automated processing, and build human-in-the-loop controls wherever a decision carries legal or material effect. You receive full audit logs and runbook documentation at handover.
The regulator is already investigating firms over this. Legal is the one sector where AI misuse has a live enforcement record.
On 17 August 2026 the Solicitors Regulation Authority published a warning notice titled Misuse of AI. It followed 42 reports of potential AI misuse received between July 2025 and July 2026, with investigations covering inaccurate legal citations, failures of supervision, and breaches of confidentiality. In June 2026 the SRA also added AI-specific sections to its guidance on effective supervision. No other sector we work in has that enforcement history.
Two obligations shape every build. Supervision: an authorised body must have regulated work supervised by someone who has practised as a lawyer for at least three years, and using a tool does not move that responsibility. Confidentiality: sending client information to a third-party AI system can breach confidentiality and legal professional privilege where the firm has not assessed and contracted with the provider. The Upper Tribunal made the same point in UK v Secretary of State for the Home Department [2026] UKUT 81 (IAC).
The practical consequence is that the procurement question comes before the engineering question. Where the model runs, what the provider may retain, and what the contract says about training on submitted data decide whether a workflow is available to the firm at all. We answer that first on legal engagements, because the answer sometimes rules out the obvious tool.
What it has to connect to
- Practice and matter management
- The system of record for conflicts, time, and billing
- Document management
- Where privilege and retention rules are actually enforced
- A reviewed provider
- Assessed and contracted; not a public tool with client data in it
What we will not automate here
- Legal advice
- The attorney or solicitor reviews flagged items and makes the judgment. AI handles extraction.
- Unverified citations
- Inaccurate citations are among the issues the SRA is actively investigating.
- Anything reaching a client unreviewed
- The duty of supervision and review is unchanged by the tool that produced the draft.
Sector sources
- 01Warning notice: Misuse of AI, Solicitors Regulation Authority
- 02SRA cautions profession about safe and responsible use of AI in legal sector, Solicitors Regulation Authority
- 03SRA Standards and Regulations, Solicitors Regulation Authority
NYDFS supervises AI as a cybersecurity matter under Part 500, not as a separate AI regime.
New York's financial regulator has not written a standalone AI rulebook. It folds AI into 23 NYCRR Part 500, the cybersecurity regulation covered entities already run. In practice that means an AI deployment does not get its own governance track; it goes into the existing Part 500 risk assessment, and a risk assessment that does not address AI-related threats has to be revised.
The guidance has arrived as a sequence of industry letters rather than a single rule: an October 2024 memorandum on the risks posed by artificial intelligence, an October 2025 letter on managing third-party service providers including AI and fintech vendors, and a May 2026 letter on the heightened risks of frontier AI models. The final provisions of the 2023 amendment to Part 500 took effect on 1 November 2025.
One control deserves specific mention because it changes build decisions. NYDFS advises covered entities to use authentication factors that withstand AI-generated deepfakes, which means moving away from SMS, voice and video verification toward digital certificates and physical security keys. If an automation touches identity verification, that is a design constraint rather than a policy footnote.
The full New York briefing sets out the rest of the local picture.
Who you answer to here
- NYDFS
- 23 NYCRR Part 500; AI supervised through the cybersecurity regime
- FINRA and SEC
- Supervision and record-keeping obligations run in parallel
- NY SHIELD Act
- State data security requirements for private information
Sources
- 01Cybersecurity Resource Center, 23 NYCRR Part 500 and industry guidance, New York State Department of Financial Services
- 02FINRA Rule 3110, Supervision, Financial Industry Regulatory Authority
- 0317 CFR 240.17a-4, Records to be preserved, Electronic Code of Federal Regulations
Common questions.
- Is there an AI automation agency for legal in New York?
- Yes. Axonari engineers AI automation systems for legal businesses in New York, working remotely from our engineering base in Jaipur. We have built systems covering contract review and clause extraction and client intake and matter management automation for organisations across New York, NY. Projects start within 2–3 weeks of the initial brief.
- Is AI automation compliant with HIPAA in New York?
- Compliance is engineered into every project we ship in New York. ABA Model Rules 1.1 (competence) and 1.6 (confidentiality), FRCP e-discovery requirements, and state bar ethics opinions on AI use in legal practice. All automations that process personal or regulated data include a data protection impact assessment, human-in-the-loop controls for decisions with legal or material effect, and full audit logging.
- How much does legal AI automation cost in New York?
- Cost in New York depends on complexity and scope. A focused single-workflow automation — for example, contract review and clause extraction — typically runs $10,000–$35,000. Multi-workflow builds with integrations and compliance scaffolding run $40,000–$100,000. All projects are fixed-price with agreed deliverables — no hourly billing.
- How long does a legal AI automation project take in New York?
- A single-workflow automation for a New York-based legal business takes 6–10 weeks from brief to go-live: 1–2 weeks for discovery and data mapping, 3–5 weeks for engineering and integration, and 1–2 weeks for testing, compliance review, and handover. Multi-workflow builds run 12–20 weeks. Timelines are fixed at the brief stage.