Join our customers
Own the model, own the margin with purpose‒built legal AI
Practical AI tools for law firms to support legal professionals, streamline workflows and reduce costs
Research, diligence and client service—redefined
- AI legal research tool on demand
- AI due diligence tools for fast deals
Draft, review, and automate documents faster
- AI contract analysis in seconds
- AI for legal document review
- AI document automation for lawyers
- Legal document drafting AI assistant
Automate and monitor legal operations across the firm
- AI for legal case management
- Contract review automation 24/7
- Legal workflow automation that scales
- AI compliance monitoring made easy
💸 Cut your law firm’s AI spend
Calculate the savings your practice could bank with our legal AI solutions
// CUSTOM CODE CALCULATOR WILL BE HERE //
See your token burn in real time
- Choose doc volume
- Watch token spend climb
- See the LogiNet price cap dro
Documents this month:
- slider 0 – 30 k, tick stops at 1 k, 5 k, 10 k, 25 k
Average document size:
- Short email / memo (~750 tokens)
- Standard pleading / contract (~2 500 tokens)
- Due-diligence bundle (~8 000 tokens)
You save £ X / month
How self‒hosted legal AI delivers ROI in just four weeks
Pick where it lives
Day 0 — your infra, your rules
- Choose on-prem, private cloud (Azure/Google), or hybrid
- Fixed-fee SoW e-signed in two clicks
- Kickoff call booked within 24 hours
Get your legal chat assistant live
Week 1 — running in your own environment
- Open-source LLMs fine-tuned on your matters
- Containers deployed, guard-rails tested
- DMS, email and case files indexed, ready to query
Bank the savings and keep control
Week 4 — results you can bill on
- Token spend down 60–70 % versus SaaS tools
- Contract review time cut by ~30 % on average
- You own every model, log and cost line—no shocks later
Self‒hosted AI in action: Real client wins
Our AI succes stories
David ODonnel
Founder, Mocxy.ai | AI fueled CX Design agency
"The team at LogiNet International went above and beyond at every possible instance."
LogiNet International developed an LLM wrapper for GPT for a design agency. The team built a customer-facing portal and designed the UI and UX for the platform.
They team went above and beyond to meet the client's needs and identify additional requirements. Their proactive approach and outstanding final product impressed the client.
I will definitely return to this company for more work, and they will be my first recommendation when asked!
Cut manual grind, gain AI speed
See how a self-hosted or private-cloud legal AI assistant slashes review time, spend and risk.
Critical metrics for AI-driven legal work
Cost per matter:
Document review time:
Data residency:
Responsiveness:
Audit and privilege:
Scaling to peaks:
Partner visibility:
Onboarding time:
Prompt control:
Vendor risk:
Before AI (manual or SaaS wrapper)
• Rising vendor licences and billable-hour leakage
• 6–8 hours per 1 000 pages, heavy paralegal input
• Contract data copied to external SaaS datacentres
• Overnight turnaround for large bundles
• Manual logging, scattered email trail
• Hire temps or pay SaaS overage
• Unclear ROI, hard to link cost to matter
• Weeks of vendor negotiation and data-export hoops
• Black-box prompts, no control over context windows
• Price hikes and feature removals outside your control
After LogiNet
self-hosted assistant
• Predictable fixed fee, 60–70% lower token spend
• 2–3 hours, automated clause matching and AI due-diligence tools
• All embeddings and vectors stay in your UK tenant
• Near-real-time answers while counsel is on the call
• Tamper-proof prompt and citation log, exportable on demand
• Spin up extra on-prem containers with no per-token penalty
• Live dashboard shows pounds, hours saved and accuracy per matter
• Containers deployed in days, no data leaves premises
• Full visibility and tuning of every prompt and retrieval step
• Model-agnostic design lets you swap vendors without rewrites
Built by experts who’ve been doing AI before it was a buzzword
At LogiNet, we’ve been delivering real-world AI solutions since long before GenAI became a trend. From LLM-based assistants to privacy-first automation, we’ve built AI tools that run inside critical systems—fast, safe, and tailored. Our AI chat agents don’t just answer questions. They understand your business.
Access to a pool of IT & AI experts
Get direct support from our professionals whenever you need extra hands.
Multilingual
expertise
We speak fluent English & work seamlessly across cultures, making collaboration smooth.
Proven success in remote delivery
We’ve delivered complex AI projects remotely: seamlessly, across teams and time zones.
No more abandoned AI projects
We stay post-launch, refining models so your assistant keeps paying off.
Faster time-to-value
Go from kick-off to production in four weeks, partners see savings in the first billing cycle.
60–70 % lower token spend
Model routing and context trimming turn runaway bills into a controllable line item.
AI that works, not just excites
Automates clause search, cuts review time, frees lawyers for higher-value work.
Data never leaves your walls
All data stays in your UK or EU cloud, fully ICO- and GDPR-aligned.
Fixed-cost, on-premise build
One capped fee, containers in your tenant: no surprise bills or data drift.
Access to a pool of IT & AI experts
Get direct support from our professionals whenever you need extra hands.
Multilingual
expertise
We speak fluent English & work seamlessly across cultures, making collaboration smooth.
Proven success in remote delivery
We’ve delivered complex AI projects remotely: seamlessly, across teams and time zones.
No more abandoned AI projects
We stay post-launch, refining models so your assistant keeps paying off.
Faster time-to-value
Go from kick-off to production in four weeks, partners see savings in the first billing cycle.
60–70 % lower token spend
Model routing and context trimming turn runaway bills into a controllable line item.
AI that works, not just excites
Automates clause search, cuts review time, frees lawyers for higher-value work.
Data never leaves your walls
All data stays in your UK or EU cloud, fully ICO- and GDPR-aligned.
Fixed-cost, on-premise build
One capped fee, containers in your tenant: no surprise bills or data drift.
Tools and technologies that power your AI success
From open-source models to custom workflows, here’s what drives real-world AI legal tech
Backend core
Python 3.11+ – orchestration, pipelines,
FastAPI – REST & OpenAPI docs,
SQL DB – MariaDB / PostgreSQL (+ time-series ext.), Redis – cache, sessions,
Celery – background tasks / training jobs
Model-workflow & deployment tools
TensorFlow Extended (TFX), PyTorch, ONNX & ONNX Runtime, JAX / Flax, CUDA / cuDNN, NVIDIA TensorRT, Triton Inference Server, Hugging Face Transformers / Diffusers / PEFT, MLflow, PaddlePaddle
Commercial foundation-model APIs
OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R,
Amazon Titan (Bedrock)
Open-source LLMs
Llama 3 (8B / 70B), Mixtral 8×22B, TinyLlama, Falcon 180B / 40B, Phi-3-mini (MIT), Qwen-14B / 72B, RWKV, Vicuna / Alpaca / Orca, RedPajama, BLOOM, GPT-J, GPT-NeoX, GPT-Neo
Text-to-speech engines
ElevenLabs Voice AI,
Microsoft Neural TTS, Google Cloud TTS,
Amazon Polly, OpenAI TTS,
Murf AI, PlayHT
Speech-to-text engines
OpenAI Whisper, Deepgram, Google Speech-to-Text, AssemblyAI, Amazon Transcribe, Microsoft Speech
Computer-vision APIs / libraries
GPT-4o Vision, Azure Vision Studio,
Google Vertex Vision, AWS Rekognition,
Roboflow, OpenCV
Image-generation models / services
DALL·E, Midjourney,
Stable Diffusion,
Runway (video)
Agentic & workflow frameworks
LangChain, LangGraph, Haystack, Agno, LlamaIndex, AutoGen, CrewAI, Griptape, MetaGPT, ExaTools
Vector databases / stores
Milvus (Zilliz), Pinecone, Weaviate,
Qdrant, Chroma, pgvector,
Redis Vector
Embedding model families
OpenAI text-embedding-3,
Cohere embed-v3, Google Gecko,
Sentence-Transformers
AI-powered search & retrieval tools
Perplexity,
Exa.ai
Optimization engine
NumPy, SciPy,
Pandas, OR-Tools (CP-SAT, VRP, MIP)
Machine-learning stackBackend core
scikit-learn, LightGBM, XGBoost, TensorFlow / Keras, SHAP
Backend core
Python 3.11+ – orchestration, pipelines,
FastAPI – REST & OpenAPI docs,
SQL DB – MariaDB / PostgreSQL (+ time-series ext.), Redis – cache, sessions,
Celery – background tasks / training jobs
Model-workflow & deployment tools
TensorFlow Extended (TFX), PyTorch, ONNX & ONNX Runtime, JAX / Flax, CUDA / cuDNN, NVIDIA TensorRT, Triton Inference Server, Hugging Face Transformers / Diffusers / PEFT, MLflow, PaddlePaddle
Commercial foundation-model APIs
OpenAI GPT family, Google Gemini, Anthropic Claude, Microsoft Phi (Phi 4), Alibaba Qwen, Cohere Command-R,
Amazon Titan (Bedrock)
Open-source LLMs
Llama 3 (8B / 70B), Mixtral 8×22B, TinyLlama, Falcon 180B / 40B, Phi-3-mini (MIT), Qwen-14B / 72B, RWKV, Vicuna / Alpaca / Orca, RedPajama, BLOOM, GPT-J, GPT-NeoX, GPT-Neo
Text-to-speech engines
ElevenLabs Voice AI,
Microsoft Neural TTS, Google Cloud TTS,
Amazon Polly, OpenAI TTS,
Murf AI, PlayHT
Common partner questions & clear, candid answers
Cost & ROI clarity
We bill by the hour, will a fixed‑fee model really lift matter profitability?
Absolutely. You still capture the billable hour; we simply strip out the silent overhead hiding beneath it. Most firms recover one paralegal‑day per 1 000 documents processed, without raising client fees.
What if OpenAI or Anthropic raise prices
overnight?
The assistant is model‑agnostic. We can rebalance traffic to open‑source or alternative APIs in hours, so you’re never hostage to a single vendor’s pricing memo.
We already pay for a SaaS legal-AI tool; why isn’t that good enough? Why build your own legal AI chatbot?
SaaS wrappers charge for convenience but still meter tokens, and you can’t optimise the prompt stack. With LogiNet’s on-prem pipeline you own the knobs: shorter context windows, model routing, open-source fallbacks. Savings average 68 % versus the “easy button” subscriptions
If we leave the SaaS vendor, do we lose the vendor’s knowledge base and support ecosystem?
You gain greater control and robust backing. LogiNet gives you a 24 × 7 enterprise SLA, plus direct Slack channel to the engineers who built your stack. All embeddings, prompts and retrieval logic remain 100 % yours, so future in-house teams, or any third-party consultant, can extend the system. No licence handcuffs, no black-box dependencies, just open standards and full documentation.
Client confidentiality, data sovereignty & regulation
We need airtight compliance.
Can AI still help?
Yes. Built-in AI compliance monitoring flags sanctions, AML or GDPR triggers before filings go out
Will any client matter data ever leave our UK or EU data centres?
No. The entire RAG stack—vector store, LLM, orchestration, runs in containers inside your Azure or on‑prem cluster. Nothing traverses the public internet. Full ICO and UK‑GDPR alignment.
Does a self‑hosted assistant keep us inside SRA guidance without extra paperwork?
Yes. Because the data never leaves your control, there’s no third‑party sub‑processing to declare. We provide a draft SRA self‑assessment you can append to your quality manual.
Who owns the embeddings and knowledge base if we part ways with LogiNet?
You do. Our contract assigns all derived artefacts to your firm; we simply delete our working copy during off‑boarding.
Accuracy, control & risk mitigation
If the agent hallucinates, who carries the liability: you or us?
Our SLA covers uptime and prompt‑processing correctness. Legal interpretation remains your professional duty, but the stack is designed to minimise hallucination via source‑cited answers and confidence scoring.
How do we stop juniors blindly trusting an automated answer?
You set a ‘confidence floor’. Anything, say, 0.83 surfaces with a red badge: “Draft: requires human review.” It trains healthy scepticism rather than blind acceptance.
Can we veto responses that exceed a risk threshold?
Yes. With our legal contract management AI solution, you can define thresholds, configure approval flows, and add partner-level validation rules, keeping oversight intact across every automated workflow.
Implementation, integration & upkeep
How long from signature to first production chat?
Typical path: 1 week discovery → 2 weeks build → 1 week staged rollout. Four weeks to your first on‑prem answer.
Who watches token burn and latency once live, your team or ours?
Yes. We integrate with most major systems—Salesforce, HubSpot, Jira, Confluence, SharePoint, and more. If there’s an API, we can talk to it.
What internal resources do we need?
You don’t need a dedicated AI team. Our assistant integrates with your document management system and automates high-effort legal tasks like contract review and case queries, making law firm automation practical with minimal overhead.
All we need is a technical contact for about half a day per week and access to a staging dataset. We handle GPU provisioning and supply ready-to-run infra scripts if you prefer a turnkey setup.
💸 AI ROI calculator
Need the numbers on paper? Grab the cost‒cutting playbook
- Build a clear case for AI investment
- Put real numbers behind your efficiency gains
- Show predictable ROI your partners will understand
Download now!
Drop in your work email and we’ll send you a ready-to-use ROI calculator: designed to help legal teams justify budget, track impact, and make smarter AI decisions.
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Fresh thinking from LogiNet
AI resource centre: watch, learn, implement
From pilot to pay‒off: turning AI experiments into real ROI (2025 edition)
What’s inside the video?
- Why chasing an “AI strategy” is a distraction, focus on profit leaks first.
- Where to start: back-office workflows vs. client-facing experience.
- Concrete ROI wins in support and sales (transferable to legal ops).
- The truth behind the hype: 80 % of great AI is disciplined software engineering.
- Live demo: a self-hosted voice agent resolving real customer calls, no SaaS lock-in, full control.
Providing end‒to‒end web and mobile development services to our customers since 2008.