AI Patent Search
Semantic + citation retrieval across 140M+ records with expert-in-the-loop QC.
AI & Agentic AI
Human expertise, multiplied by agents.
Hashi.AI is a purpose-built agentic platform for patent professionals. Autonomous agents triage prior art, generate claim charts, draft office-action responses, and orchestrate portfolio operations — all under expert human review, deployed in your tenancy.
Business problems
Where teams get stuck.
01
Generic LLMs hallucinate citations and cannot be trusted with claim-scope decisions.
02
Point-solution AI tools sit outside the docket and never touch real workflow.
03
In-house IP teams cannot audit or explain vendor AI outputs to counsel or the board.
04
Data residency, privilege, and IP leakage concerns block enterprise AI deployment.
Our solution
Agentic AI built for the IP function — not adapted to it.
Hashi.AI combines a knowledge graph of your portfolio, curated retrieval across 140M+ records, and a fleet of specialised agents that plan, act, and self-audit. Every action is logged, every citation is grounded, and every output is queued for expert human review. The platform runs in your private tenancy with zero-retention LLM routing — so privilege and IP stay yours.
- Portfolio knowledge graph built on your invention disclosures, filings, and prosecution history.
- Specialised agents: search, triage, drafting, docket, analytics, and QC.
- Every agent decision auditable — plan, action, citation, human review, outcome.
- Private tenancy on AWS, Azure, or GCP; zero-retention routing to frontier LLMs.
- SOC 2, ISO 27001, GDPR-aligned; SSO, RBAC, and full data-residency controls.
Offerings
What we deliver in this practice.
AI Prior Art Discovery
Continuous triage across your innovation pipeline, ranked by invalidity risk.
AI Patent Analytics
Landscape and white-space intelligence in hours, refreshed on cadence.
AI Patent Drafting
Claim and specification generation grounded in your portfolio and disclosures.
AI Claim Analysis
Claim charts, mapping, and infringement assessments generated at scale.
Agentic AI for Attorneys
Autonomous agents that plan, act, and self-audit inside your workflow.
Agentic AI for Law Firms
Docket, conflicts, research, and correspondence automation for IP practices.
AI Workflow Automation
Prosecution, annuity, and docket workflows automated end-to-end.
AI Knowledge Management
Portfolio knowledge graph, precedent library, and RAG-grounded assistants.
Methodology
A defined operating model, engineered for defensibility.
01
Discover
Two-week workshop to map your workflows, data, and decision points.
02
Ground
Ingest your portfolio, disclosures, and precedent library into a private knowledge graph.
03
Pilot
Deploy one or two agents against a live workflow with human QC on every output.
04
Scale
Expand agent coverage, connect systems, and hand production to your team.
05
Assure
Continuous evaluation, red-teaming, and model updates by Hashi engineers.
Deliverables
Every engagement ships evidence, not opinions.
- Private-tenancy Hashi.AI deployment (AWS, Azure, or GCP).
- Portfolio knowledge graph with ingestion pipelines for filings and disclosures.
- Configured agent fleet mapped to your workflows.
- Integrations: Anaqua, CPA Global, Foundation IP, DocketNavigator, MS 365, Google Workspace.
- Evaluation harness with accuracy, coverage, and citation-grounding metrics.
- Named ML engineer and IP subject-matter lead assigned to your account.
Benefits
Outcomes our clients rely on.
Compressed cycles
Prior-art triage, drafting, and analytics cycles compressed by 60–80%.
Auditable agents
Every plan, action, and citation logged; every output queued for human review.
Enterprise security
Private tenancy, zero-retention LLM routing, SOC 2 and ISO 27001 alignment.
Model-agnostic
Route to frontier LLMs or run open-weights inside your VPC — no vendor lock-in.
Industries served
Domain fluency, from silicon to small molecules.
- Pharmaceuticals
- Semiconductors
- Automotive
- Telecommunications
- AI / ML
- Software
- Medical Devices
- Consumer Electronics
- Law Firms
- Universities
- Research Organisations
- Corporate IP Departments
FAQ
Questions our clients ask most often.
How is Hashi.AI different from ChatGPT or Copilot?+
Hashi.AI is a purpose-built agentic platform grounded in your portfolio and 140M+ curated patent records — not a generic chatbot. Every output is citation-grounded, auditable, and queued for expert human review. Generic LLMs hallucinate; Hashi.AI shows its work.
Where does our data live?+
In your private tenancy — AWS, Azure, or GCP — with data-residency controls, SSO, and RBAC. We route to frontier LLMs on a zero-retention basis, or run open-weights entirely inside your VPC.
Do you replace attorneys?+
No. Hashi.AI multiplies attorneys. Agents handle triage, first drafts, and mechanical work; qualified counsel makes every substantive decision. The platform is designed around human-in-the-loop, not human-out-of-the-loop.
What does a deployment cost and take?+
Typical pilots run 6–10 weeks and start at $75K, including workshops, ingestion, one or two agents, and evaluation. Enterprise-wide deployments scale into a seat-plus-services model. We share a detailed scope after the discovery workshop.
Can it integrate with our IP management platform?+
Yes. Native integrations with Anaqua, CPA Global, Foundation IP, DocketNavigator, and any system with a supported API. We also ship connectors for MS 365, Google Workspace, SharePoint, and Slack.
How do you evaluate agent quality?+
Every agent ships with an evaluation harness measuring accuracy, coverage, citation grounding, and human-override rate. Results are reviewed monthly and fed back into prompt, retrieval, and model updates.
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