PubSecGovernment
Technology by jhana
5+ High Courts & Tribunals
3+ Central Government Ministries
200+ Voluntary Government Users
150+ Judges Signed Up
8+ Languages, 7+ States
From Procedure to Governance
Bulk extraction
Any format, any volume, any languageChecklists & compliance
Formats, scrutiny, eligibility, etc.Automated MIS
Metadata, classification, schedulingDiscovery, Review & QA
Investigation dashboards, synopses, chatVision AI Forensics
Scan quality, signatures, notary, fees, etc.Research & Data Insights
eg. litigation on related RFPs, latest rulesDraft DOCX via Chat
eg. Tender from RFP, GO, redlines/commentsCommunications
SMS/Whatsapp/Email summariesPublication
Formatted reports & typesettingTransparency & Accountability
Operator TAT, staff performance, district ranksEmbedded Consulting
AI & technical staff forward deployedChange Management
Training, onboarding, internal marketingWhat transformation looks like.
30×
FasterFiling scrutiny: 1.5h → 3min15
MinutesCause-list to dashboard10K+
Pages/weekRead by AI for judges150+
JudgesOrganic Steno adoptionFiling Scrutiny
Commercial Court, EgmoreRegistry officers spent 1.5 hours per e-filing on manual scrutiny—jurisdiction checks, annexure verification, court fee validation.
AI-assisted scrutiny with automatic defect detection and memo generation.
Processing reduced to under 3 minutes. System outperformed manual scrutiny across 10 commercial filings.
Tax Investigations
Tax DepartmentTax assessing officers needed days to review thousands of pages to build investigation synopses.
Complaint investigation dashboards with AI-generated summaries. Document intelligence extracts facts, timelines, and relationships.
10,000+ pages processed per week. Judges confirmed hearing same arguments as AI synopsis—validation in adversarial proceedings.
Financial Disputes
Banking & MSMEDispute redressal requires parsing complex documentation—loan agreements, correspondence, regulatory filings.
Full-stack management: document ingestion, issue extraction, precedent mapping, and summary generation for principals.
MSME principals receive structured summaries. Banks get compliance-ready documentation. Resolution timelines compressed.
Undertrial Detention
Criminal CourtsAverage undertrial spends 3 days in detention because filing scrutiny is ongoing. Liberty at stake.
Same-day scrutiny clearance. Urgent matter detection flags time-sensitive cases for expedited processing.
Filing-to-listing compressed from days to hours. When liberty is at stake, delay is injustice.
Self-owned. Sovereignty as technical design.
Internet only needed during inference—
transact with AI agent pipelines via API, save locally, display on your own UI.
Data resides on-prem
Siloed, dedicated servers
JWT & TLS encryption
AES256 file encryption via AWS-SSE
Role-based permissions (RBACs)
Self-Owned
Internet only needed during AI inference.
Composable & Modular
Start immediately with supplementary job aids, add modules later.
Interoperable
Integrate with any existing and new DMS, MIS, e-filing, data grids, etc.
Your UI or Ours
Readymade dashboards or embed into your own UI via APIs + websockets.
Comprehensive. Complete. Current.
The largest structured dataset of Indian law, administration, and civil procedure. Every judgment or intermediate order from the Supreme Court and all High Courts. Every Central and State Act with subordinate legislation. Live-indexed, version-controlled, optimized for AI reasoning.
Supreme Court
All High Courts
Central & State Acts
Rules, Notifications, Ordinances, Schedules
Tribunals & Commissions
Updated & indexed daily
Legal
Complete judicial record16M+
All orders & judgments — Supreme Court, all 25 High Courts
Central Acts, State Acts, Ordinances
Rules, Regulations, Notifications
Schedules, Forms, Annexures
Administrative
Executive documentation2M+
Circulars & Office Memoranda
Scheme guidelines & SOPs
Tender templates & GeM specs
Cabinet notes & policy briefs
Procedural
Operational workflows500K+
Court-specific checklists
Filing forms & fee schedules
Workflow diagrams & SLAs
Training materials & guides
Law-Verifiers
Constructs logic graphs which detect contradictions, forensic issues, and ontologies. LLM-as-judge paradigm. Verifiably comprehensive at 10,000+ page scale.
Built for infinite context and handling all MIME types. Verification graphs for PDFs, handwritten scans, drawings, maps, recordings, and photographs.
Implementation is our craft.
We don't sell software. We build institutional capacity—through disciplined process mapping, forward-deployed engineering, and relentless stakeholder alignment.
01
Map existing processes
Before digitization, we document what works. At Egmore Commercial Court, we mapped local jurisdiction rules, scrutiny checklists specific to the bench, court fee schedules, and filing workflows before writing a single line of code. Naive digitization immortalizes bad design—process mapping prevents it.
02
Forward-deployed engineering
Our FDEs embed on-site for weeks. They clean legacy data, write custom migration scripts on government servers, patch discordant systems, reconcile naming conventions, and handle edge cases your IT vendor won't touch. No generic installers—just the fastest path to production.
03
Change management, marketing & stakeholder alignment
Technology adoption fails when people aren't ready. We consult with staff, unions, and beneficiaries early—running workshops, gathering feedback, addressing concerns, and building consensus before rollout. Resistance is information. Buy-in is the real deliverable.
04
Continuous training & onboarding
Onboarding sessions, practice runs, refresher workshops, multilingual guides, WhatsApp support groups for operators. We stay until teams can operate without us—and return when new staff rotate in.
05
Embedded measurement & observability
When 100% of work occurs on one platform, managers observe 100% of inputs. Weekly KPI dashboards, operator TAT tracking, district-level rankings, RTI-ready audit trails. Rich analytics, rich accountability.
Pilots are contingent. Scale is earned.
Procurement guidance for government AI.
Per GFR 2017, CVC Procurement Guidelines, Supreme Court e-Committee norms, and GeM best practices.
Require off-the-shelf, fixed-price products
Predictable, validated products built by world-class teams.
Developing tech in-house with no derisking or data economies of scale.
Legacy service companies and governments are unlikely to produce cutting-edge technology in-house.
Require ontological architecture
Formal verification with line-level citations and audit trails.
Black-box AI with unverifiable outputs.
Every claim must be traceable. Every output auditable.
Require comprehensive legal/admin datasets
Proprietary databases with live, versioned, complete legal/admin data.
Generic models and GPT wrappers with knowledge cutoffs.
Government work requires daily and comprehensive indexing of new judgments, circulars, amendments, etc. and not Google/GPT.
Require operational fluency
Forward-deployed engineers with domain expertise; on-site process mapping.
Remote-only support; ticket-based resolution; lawyer- or sales-only teams.
Technology adoption requires hands-on implementation by technically fluent operators.
Require public products with real users
Products that are loved bottom-up survive; forced procurements go to waste.
Decision-makers captured by fake demos of unavailable products.
jhana has 150+ judges as voluntary users; pilots and demos are public.
Avoid non-profit dependencies
Sustainable commercial model with aligned incentives and transparent data ownership.
Grant-funded projects with uncertain continuity and opaque data-sharing.
Long-term institutional partnerships require commercial viability.
Require platformization AND interoperability
Pool data into singular system to reduce exposure; ensure that system is interoperable.
Point solutions that only do one thing; tools that don’t talk to other tools.
Reduces exposure to multiple vendors and cybersecurity points of failure.
Require API-based, self-owned data sovereignty
Self-owned infrastructure with role-based permissions, admin, analytics, and bulk ops.
Web-only or app-only consumer products with vendor data access.
Government data is sensitive and large volume; must be stored on government servers.
jhana meets all criteria above. We built these standards through 5+ court deployments.
Ready for government scale.
5+
High Courts3+
Ministries200+
Govt Users8+
LanguagesGeM certified
DPDPA compliant
India's first legal intelligence lab, est. 2022. Harvard classmates with 150+ years combined experience from Supreme Court, World Bank, RBI, Gates Foundation, Finance Ministry, and T1 corporate law.
Pre-seed VC funded US$ 1.7MM from Together Fund/Freshworks, Blume Ventures, and founders at OpenAI, VMWare, Razorpay, CRED.
"Best new legal tech in Asia-Pacific" — TechLaw.Fest Singapore
