Your legal copilot, powered by AI

Hand over the file.
Get the drafted document.

Research, case law, contracts, filings: legal agents that read your exhibits, draft, and cite every source — checkable line by line.

  • No credit card
  • Ready in 30s
  • Confidential & on-premise
The practice is working0/4
  • Clause reading
  • Risk detection
  • Comparison to law
  • Summary note
  • Legal agents
  • Your own agents
  • Your matters
  • Document drafting
  • Embeddable & API
  • Cloud or on-premise
01Capabilities

One platform, a whole augmented practice

From research to drafting, from the file to compliance — specialised agents that do the work, grounded in your exhibits.

⚖️

A fleet of legal agents

Agents per practice area — contracts, litigation, employment, real estate, family, compliance — that qualify, research and draft.

  • Algerian and French law
  • No-code studio to build your own
  • They produce the document, not just an answer
🧠

Ultra-RAG: answers grounded to the article

Answer from your own exhibits and codes, every claim cited and checkable.

  • Hybrid search: vector + keyword + graph
  • Clickable citations down to the article
✍️

Document drafting

Formal notices, pleadings, contracts, letters — in the firm’s format, ready to review.

  • Templates in your house style
  • DOCX / PDF export
🗂️

Matter analysis

Drop the exhibits: timeline of facts, parties, missing documents and the points of law.

  • Reconstructed timeline
  • Every fact tied to its exhibit
📡

Monitoring & compliance

Track the texts that concern you and keep the in-force version straight.

  • Alerts on your practice areas
  • Created / amended / repealed
🔒

Professional privilege

Built for a practice: partitioning, human approval, and deployment inside your walls.

  • Partitioned per matter and per team
  • On-premise / private cloud
Full inventory

Everything the platform can do

No waiting list and no hidden paid module: this is the full set of capabilities available today.

  • ⚖️Legal agent catalogue

    Contracts, litigation, employment tribunals, leases, family, consumer, company and tax — one click each.

  • 🛠️Your own agents

    Build an agent around your speciality, with its instructions, tools and your knowledge bases. No code.

  • 📚Knowledge bases (Ultra-RAG)

    Your matters, codes and templates become a queryable base, with cited sources.

  • 🇩🇿DZ·LEX — Algerian law

    The Algerian legislative corpus, queryable: article-level grounding, amendment tracing, in-force version.

  • 🧩Teams of agents

    An orchestrator splits the matter across several agents and shows you every step live.

  • ✍️Drafting & templates

    Documents, letters and contracts generated in your house style, editable then exported to DOCX or PDF.

  • 🔎Research & case law

    Live search over the sources you choose, with verification that the version is still in force.

  • 🎬Audio, video & translation

    Hearing and meeting transcription, translation of whole exhibits, multilingual dubbing.

  • ⏱️Scheduled automation

    Periodic monitoring, deadline reminders and reports emailed to you, with no intervention.

  • Human approval

    Sensitive actions (sending a letter, publishing) wait for your explicit approval.

  • 🔌Integrations

    Microsoft 365, Google, Notion, and your own practice tools through API keys.

  • 💬Embeddable widgets

    Publish an agent as a chatbot on the firm’s website, in your branding, in minutes.

  • 👥Firm & sharing

    Team accounts, shared matters and bases, roles and seats managed from the interface.

  • 🔐Security & audit trail

    Per-account partitioning, sandboxed execution, audit log, GDPR export and deletion.

  • ⚙️API & run queue

    Personal API keys, durable runs that continue with the tab closed, and usage tracking.

  • 🌍Four languages, RTL included

    Interface and agents in French, Arabic, English and Chinese — Arabic is first-class.

02Ultra-RAG · Rust core

The engine that answers correctly — from YOUR exhibits, at any scale

Vector + full-text + entities + graph, on a 100% Rust stack. Article-level grounding, amendment tracing, every answer cited and checkable.

100%
factual accuracy · 4,409 public QA, zero hallucination
265 ms
to first results (SSE streaming)
500+
concurrent queries · p95 < 2s on one instance
25 MB
per microservice · cold start < 50 ms

p50 167 ms at 50 concurrent · 3× faster than a Python stack · replayable benchmarks.

Four recall channels, one cited answer

Any single retrieval method misses something. All four run in parallel and are fused deterministically: same question, same answer.

  • VectorQdrant · 1024-d
  • Full-textPostgreSQL · BM25
  • Entity channeltyped NER
  • Knowledge graphNeo4j · Cypher

RRF fusion + entity boost + MMR diversity → ranked, sourced answer

REPRESENTSPARTY_TOGOVERNSPART_OFContractPartySignatoryLawClause
  • 📎Explainable answers

    Clickable [N] citations that open the exact PDF page or the highlighted section.

  • 🛑Verified abstention

    It scores each claim against its sources and says "insufficient evidence" rather than inventing one.

  • 🕰️Temporal tracing

    Follows a fact across versions — created, amended, repealed — and separates "in force" from "back then".

  • 🖼️Vision search

    Ask for a product by description and get the photo itself, linked to the page describing it.

  • 📦Large corpora

    100 MB+ / 1,500-page catalogues via batch OCR. PDF, DOCX, PPTX, XLSX, images.

  • 🌍First-class Arabic

    RTL, broken plurals, hamza/tashkeel normalisation — the same accuracy as English.

Under the hood
ColBERTlate-interaction rerankGraphRAGmulti-hop over the graphRAPTORhierarchical summariesSelf-RAGself-correcting retrievalAgenticquestion decomposition/extractstructured JSON extraction

Tested, measured, replayable

Finance suite 12/12 · legal codes 10/10 · +11 points against EdgeQuake on MMLongBench. Domain-tuned profiles (legal, corporate, timeline, catalogue) and deployable on-premise or air-gapped.

Explore the Ultra-RAG engine
03Why not just ChatGPT?

Far more than a legal chatbot

A general assistant talks. Legal-Index works the file — grounded, sourced, checkable, and deployable inside your practice.

Answers grounded in YOUR documents

Ungrounded, can hallucinate

Ultra-RAG — every claim cited

Expert agents per domain

One general assistant

50+ specialized agents

Takes real actions

Chat only

Tools + human-in-the-loop approval

Your data isolation

Shared & opaque

Private, encrypted, sandboxed

Team & company controls

Personal use only

Orgs, seats, sharing, SSO

On your own servers

Not possible

On-premise fully available

Languages

Limited RTL

EN · FR · AR · ZH, full RTL

04The teams

Teams of agents, not a lone assistant

Real chains: qualification, research, drafting, verification — through to the delivered document.

⚖️

Legal Agent

The augmented practice

Describe the matter: the agent qualifies it, researches the grounds, builds the strategy, drafts the document, then a verifier checks every citation before handing it back.

  • Legal qualification before any drafting
  • Every ground cited and checkable
  • The verifier returns the work while a citation is missing
  • One output: a document ready to review
Open the Legal Agent

The pipeline

  1. Qualification
  2. ResearchCase lawDrafting

    ‖ in parallel — one agent per angle

  3. Verifier

    ↺ returns the work while a citation is missing

  4. Document delivered
🗂️

Matter analysis

The investigation team

Drop in every exhibit: the team reads them, reconstructs the timeline of facts, identifies the parties and points of law, flags what is missing and returns a structured note.

  • Timeline reconstructed from the exhibits
  • Every fact tied to its source exhibit
  • Missing documents and contradictions flagged
  • Exportable summary note
Open matter analysis

The pipeline

  1. Reading the exhibits
  2. TimelinePartiesPoints of law

    ‖ in parallel — one agent per angle

  3. Consistency check

    ↺ flags the missing exhibits

  4. Matter note
📡

Regulatory monitoring

Continuous watch

Pick your practice areas: the watch follows published texts, filters the noise, checks whether the version is still in force and sends you a dated note.

  • Sources and areas chosen by you
  • Relevance filtering before any alert
  • In-force version verified
  • Dated note, archived and emailed
Open monitoring

The pipeline

  1. Collecting texts
  2. FilteringImpactDrafting

    ‖ in parallel — one agent per angle

  3. Version check

    ↺ filters the noise before publishing

  4. Monitoring note

This is only a glimpse.

See the full catalogue
05Make it yours

Build your own legal agents. Ship them anywhere.

The catalogue is a starting point. Compose an agent around your speciality, then take it out: onto the firm website, into your tools, or entirely onto your own infrastructure.

🧬

Compose it without writing code

The Agentic Studio turns an agent into data: a name, instructions, and capabilities you flip on like switches. Each capability brings its tools AND the know-how that guides how they are used.

  • ~29 toggleable capability bundles (web, documents, slides, SQL, email…)
  • Persona cloning: drop in your writing, the agent adopts your voice
  • Private, shared by email, scoped to a team, or public
  • Publish to the marketplace — others install it in one click
💬

Embed it on your site in one line

An agent becomes a public chatbot on your own domain. Paste a script, pick the allowed domains, and it's live — your visitors' conversations bill to your account, not theirs.

  • One <script> tag, no back-end to write
  • Domain allow-list: nobody can reuse it elsewhere
  • Per-visitor sessions with retained history
  • Or publish a full generated site, served at /site/your-slug
<script
  src="https://ai.syctra.com/embed.js"
  data-agent="support-fr"
  defer
></script>
🔌

Drive the whole platform over an API

Create an API key in your settings, exchange it for a short-lived token, and call any endpoint — the same ones the interface uses. Your agents become a component of your own product.

  • Up to 20 named keys, revocable at any time
  • Every endpoint: chat, agents, knowledge bases, files
  • Streaming responses (SSE) and a durable run queue
  • Usage bills to the key owner
curl https://ai.syctra.com/api/v1/auth/token \
  -H "X-API-Key: sk_live_…"

curl https://ai.syctra.com/api/v1/chat \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"agent":"my_analyst",
       "message":"Résume le rapport Q3"}'
06Use cases

What Legal-Index actually delivers

Four real matters, from file to document — with the agents involved at every step.

⚖️

Review a contract

The pipeline

  1. 01Clause reading
  2. 02Risk detection
  3. 03Comparison to law
  4. 04Summary note
contract-review.docx23 clauses · ranked risks · articles cited
📚

Query my 200 matters

The pipeline

  1. 01Reading the exhibits
  2. 02Fact extraction
  3. 03Source verification
matter-summary.docxevery answer anchored to the exhibit
✍️

Draft a formal notice

The pipeline

  1. 01Legal qualification
  2. 02Grounds research
  3. 03Drafting
  4. 04Compliance check
formal-notice.docxgrounds cited · ready to sign
🔎

Search the case law

The pipeline

  1. 01Multi-source search
  2. 02Relevance ranking
  3. 03Version verification
case-law-note.pdfrecent decisions · in-force verified
07How it runs

How it works

Three steps, from the ask to the delivered file.

  1. 01

    Describe the mission

    Two sentences are enough. Pick the team, attach your documents or a knowledge base, and start.

  2. 02

    Watch the team work

    Each agent reasons live in the thread. The verifier sends the work back until the result is good enough.

  3. 03

    Take the deliverable

    Deck, report, spreadsheet or site: downloadable immediately and kept in your history.

08Pricing

Simple, scalable pricing

Start free. Upgrade as you grow. Credits are spent only on what you use.

How credits work

1,000,000 tokens = 1,000 credits

You only pay for what you use — no wasted credits.

≈ $1.11

Need more? Top up your credit anytime — any custom amount.

09FAQ

Frequently asked questions

What people ask before getting started.

What is a credit?

A credit is the platform’s unit of work. A mission consumes credits based on the effort the agents actually spend — research, writing, verification loops. A full presentation typically costs a few dozen credits.

Do credits expire?

No. Purchased credits stay yours and roll over month to month. You only pay for what you use.

Is my data isolated?

Yes. Every account is partitioned: documents, knowledge bases, conversations and logs. Agent code runs in a sandbox, and sensitive actions go through human approval.

Can I install it on my own servers?

Yes, completely. The full stack installs on your machines, including on a network cut off from the internet, with your own models (vLLM, Ollama) or your API keys. No data leaves your perimeter.

Can I use my own AI models?

Yes. Managed models (Gemini, OpenAI, Anthropic, Mistral) or self-hosted ones (vLLM, Ollama, Hugging Face, LM Studio): any OpenAI-compatible endpoint works, and the choice is made model by model.

Can I cancel any time?

Yes, with no commitment and no fee. Credits you already bought stay usable after cancelling.

Ready to put an AI workforce to work?

Create your account in seconds — or let’s talk about a deployment on your own servers.

  • No credit card
  • Ready in 30s
  • Confidential & on-premise
  • On-premise deployment available
11Enterprise & partners

Your platform, your infrastructure, your model

SYCTRA is not limited to public SaaS: it deploys on your systems, under your brand, on the AI engine you choose.

🏢

On-premise deployment

The platform runs on your servers or private cloud. No data leaves your perimeter — decisive in health, defence, legal and the public sector.

🏷️

White label

Your logo, your domain, your brand. We provide the engine, you sell the platform to your clients under your own name.

🧬

Custom teams

Agents built for your trade: we write their instructions, tools and quality checks together with your experts.

🔗

Integration & API

Connect the platform to your systems: API keys, run queues, SSO, audit logs and export to the tools you already use.

What runs where
Your infrastructure
  • Rust edge
  • AI agents
  • Workers
  • PostgreSQL
  • Redis
  • Object storage
  • Ultra-RAG
  • Local models
  • Web interface
Internet · external APIs

In air-gapped mode nothing crosses this boundary: no document, no query, no log.

Install the whole platform on your own servers

  • One Docker stack, one command

    A complete, versioned, documented Docker Compose stack. Install, upgrade and restore follow the same procedure we run in our own production.

  • Your models, your keys

    Point it at vLLM or Ollama to stay fully local, or use your own API keys for hosted models. The choice is made model by model.

  • Air-gap, for real

    No outbound call is required: no telemetry, no online licence check, no third-party service needed to boot.

  • You own everything

    Documents, vector indexes, conversation history and audit logs live in your database, on your disks, under your backups.

Works with your AI provider

Managed APIs or self-hosted models — any OpenAI-compatible endpoint works.

  • Google GeminiAPI
  • OpenAIAPI
  • AnthropicAPI
  • MistralAPI
  • Ollamaself-hosted
  • vLLMself-hosted
  • Hugging Faceself-hosted
  • LM Studioself-hosted

A specific need, a large volume, or a reseller project?

Let’s talk about your project
12Contact

Talk to us

A question, a demo, a partnership, an investment — or anything else on your mind? Tell us, don't hesitate. We read every message and reply fast.

Write to us directly

contact@syctra.com

We usually reply within one business day.

Custom teams

Want a team of agents dedicated to your trade? We build it with you, from defining the agents to deployment.