Top 10 AI Tools Every Legal Professional in Ukraine Should Know in 2025
Last Updated: September 14th 2025

Too Long; Didn't Read:
Top 10 AI tools every Ukrainian legal professional should know in 2025: mainstreaming AI across drafting, discovery and compliance - 31% personal use (2024), 74% expect near-term impact, users save 1–5 hours/week; CLMs cut contract review 45–90% and costs ~33%.
AI matters for legal professionals in Ukraine in 2025 because generative tools are shifting from novelty to daily workflow - industry surveys show individual use rising (31% in 2024) and many practitioners expecting AI to touch their jobs soon (74% in one report), with users reporting 1–5 hours saved per week on drafting and routine tasks; for Ukrainian lawyers that translates into faster multilingual drafting, smarter discovery and new compliance work as EU-style rules and national guidance change IP, privacy and disclosure practice.
Practical, local advice is collected in the Complete Guide to Using AI as a Legal Professional in Ukraine (2025), while the Stanford HAI 2025 AI Index report underscores accelerating regulation and investment - so pairing human oversight with clear firm policies is the safest path to capture AI's productivity gains without compromising client trust.
Year | Personal Use | Law Firm Use |
---|---|---|
2024 | 31% | 21% |
2023 | 27% | 24% |
“This transformation is happening now.”
Table of Contents
- Methodology - How we selected these top 10 AI tools
- LEGALFLY - secure AI associate for in-house legal teams
- ChatGPT (GPT-4o) - versatile drafting and multilingual research assistant
- Microsoft Copilot (for Microsoft 365) - AI inside Word, Excel and Teams
- CoCounsel (Casetext) - contextual legal research and drafting
- Lexis+ AI / Westlaw Edge / Harvey AI - advanced research and litigation analytics
- HyperStart CLM / Spellbook / ClauseBase - AI-powered contract lifecycle management
- DeepL Translate + DeepL Write - translation and tone polishing for Ukrainian-English work
- HAPP AI - Ukrainian conversational lead conversion and client engagement
- Everlaw / Relativity / CS Disco - eDiscovery and large-scale litigation platforms
- Smith.ai / LawDroid - client intake, virtual receptionists and automation
- Conclusion - Getting started: priorities, integration and human oversight
- Frequently Asked Questions
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Get practical tips on data protection in Ukraine when training models or handling client data with AI.
Methodology - How we selected these top 10 AI tools
(Up)Selection focused on tools that Ukrainian legal teams can safely adopt today and scale into EU‑aligned practice: each candidate was screened for compliance with Ukraine's National AI Strategy and governance guidance, mapped to the EU's risk‑based rules and rollout timeline, and evaluated for courtroom and registry readiness (e.g., the need to work with the Unified State Register of Court Decisions that holds ~120 million documents).
Criteria included clear human‑in‑the‑loop controls, auditable logs and transparency features, easy localization or the ability to disable high‑risk modules, strong data‑security controls for sensitive court or client files, multilingual support for Ukrainian↔English workflows, and demonstrable fit with HUDERIA/impact‑assessment practices urged for rights protection.
The shortlist was informed by national regulatory roadmaps and white papers, the EU AI Act implementation milestones, and practical judicial pilots; readers curious about the legal framework behind these filters can consult Ukraine's AI regulation overview and the EU implementation briefing linked below.
AI regulation in Ukraine - laws and compliance framework, EU AI Act implementation progress for Ukrainian law firms, AI integration in Ukrainian courts - analysis and commentary.
“the use of artificial intelligence technologies by a judge is admissible if it does not affect the independence and impartiality of the judge, does not affect the evaluation of evidence and the decision-making process, and does not violate the requirements of the law”
LEGALFLY - secure AI associate for in-house legal teams
(Up)LEGALFLY AI contract review software for in-house legal teams is built for in‑house legal teams that need speed without sacrificing control: think Microsoft 365‑native auto‑redlining, clause extraction and playbook‑mapped redlines that turn large, repetitive reviews into clear issue lists and concise executive snapshots; bulk review and multilingual, jurisdictional agents make it a practical fit for Ukrainian teams handling Ukrainian↔English contracts and cross‑border DPAs, while default anonymisation and sensitive‑data redaction help manage privilege and confidentiality concerns highlighted by counsel guidance such as Orrick AI FAQ for in-house legal teams on AI adoption.
For firms aligning with EU‑style rules and local IT guidance, LEGALFLY's traceable Word plug‑in and custom agents offer the audit logs and playbook controls recommended in the Complete Guide to Using AI as a Legal Professional in Ukraine (2025), helping legal teams reallocate time from repetitive redlines to negotiation strategy and risk‑based oversight.
Key Feature | Why it matters for Ukrainian in‑house teams |
---|---|
Auto‑redlining + Word plug‑in | Keeps edits in familiar workflows and shows explainable changes for sign‑off |
Default anonymisation & data redaction | Reduces risk of privilege waiver when ingesting sensitive documents |
Jurisdictional & multilingual agents | Supports Ukrainian↔English drafting and EU‑aligned compliance checks |
Bulk review & clause extraction | Speeds portfolio reviews and highlights systemic risks across many contracts |
Custom models & playbook mapping | Ensures redlines reflect firm standards and are traceable for audits |
“Generative AI will be the biggest game-changer for advisory services for a generation. We wanted to position ourselves to capitalize on this opportunity and lead in the tax, legal, and HR space.” - Bivek Sharma, Chief AI Officer, PwC UK and AI Leader, EMEA
ChatGPT (GPT-4o) - versatile drafting and multilingual research assistant
(Up)ChatGPT (GPT-4o) acts as a versatile drafting and multilingual research assistant for Ukrainian legal teams by handling everything from structured clause drafts to quick jurisdictional summaries, and it pairs especially well with local solutions that understand regional nuance; for example, Ukraine's Neural Writer - able to accept up to 10,000 characters and translate across 27+ languages using multiple language models - can be used to fine‑tune tone, idiom and longer bilingual memos before final lawyer review (Cryptopolitan analysis: Ukraine Neural Writer AI vs ChatGPT).
Practical workflows keep a human in the loop and version control in place, so teams can iterate prompts, preserve audit trails and scale consistent outputs across matters (AI prompt library and version control for legal workflows); the net result is less time on routine drafting and more time on strategy - imagine turning a 10,000‑character filing into a concise bilingual executive summary in moments, then applying firm playbooks before filing.
Microsoft Copilot (for Microsoft 365) - AI inside Word, Excel and Teams
(Up)Microsoft Copilot for Microsoft 365 folds AI directly into the apps Ukrainian legal teams already use - Word for rapid first drafts, rewrites and document summaries; Excel for formula suggestions and data insights; Outlook for thread summaries and tone‑aware drafting; and Teams for meeting and transcript catch‑ups - so routine work becomes faster without leaving familiar workflows (see Microsoft's overview of Microsoft 365 Copilot overview).
Copilot can also ground responses in your firm's files via Microsoft Graph, produce iterative drafts that a lawyer can refine, and generate citations pointing back to source material, but licensing matters (business Copilot vs Copilot Pro) and organisations should follow firm policies and verify outputs before filing.
For hands‑on steps to adopt with Ukrainian compliance in mind, consult the Nucamp AI Essentials for Work syllabus, and for practical tips on drafting workflows and limitations see Microsoft's Copilot in Word help page that walks through the following:
Draft with Copilot
transforming text into tables, and the privacy and review controls to keep firm data secure.
See the Microsoft support article: Copilot in Word - welcome and how to draft with Copilot, and the Complete guide to using AI as a legal professional in Ukraine (2025).
Microsoft 365 App | Practical Copilot feature for legal teams |
---|---|
Word | Drafting, rewriting, document summarization and transform-to-table tools |
Excel | Formula suggestions, data analysis and visualizations |
Outlook | Summarize long email threads and draft client-facing messages |
Teams | Meeting summaries, action items and in-call assistance |
Microsoft Graph & Admin tools | Grounding in org data, access controls and enterprise-grade privacy controls |
CoCounsel (Casetext) - contextual legal research and drafting
(Up)CoCounsel (formerly Casetext) brings a single, research-to-draft workspace that Ukrainian legal teams can lean on when deadlines and discovery volumes pile up: Deep Research and agentic workflows speed document analysis and drafting (Thomson Reuters cites up to 2.6x faster reviews and drafting and 85% of users finding more key information), while the Timeline skill assembles clear, clickable chronologies from large collections - an obvious time‑saver for litigation, internal investigations and fact‑heavy regulatory work in Ukraine where building a reliable narrative from thousands of documents matters.
Integration with Westlaw, Practical Law and Microsoft 365 means outputs can be grounded in authoritative content and dropped straight into Word playbooks, but experience reports also flag practical limits - occasional gaps in citation validation and search result caps that make human verification essential - so CoCounsel is best used as a force‑multiplier, not an autopilot.
Explore product details at Thomson Reuters CoCounsel product overview and see the CoCounsel Timeline announcement demo for chronology extraction.
“What CoCounsel has allowed us to do is efficiently manage massive amounts of data and become more responsive to our clients' needs, in a timelier fashion.”
Lexis+ AI / Westlaw Edge / Harvey AI - advanced research and litigation analytics
(Up)For Ukrainian legal teams facing cross‑border disputes and fast‑moving regulatory change, advanced research platforms turn mountains of filings into actionable strategy: Lexis+ AI blends Protégé‑powered drafting, Shepard's‑backed citation checks and litigation analytics that expose judge timing, damages and counsel track records - useful when comparing EU and domestic practice - while Westlaw's Precision stack brings KeyCite verification and AI jurisdictional surveys to quickly test “is it good law?” across systems; specialised players like Harvey focus on contract due diligence and multi‑jurisdictional research to speed large reviews and extraction.
These tools are best treated as force‑multipliers: run litigation analytics to set client expectations, generate jurisdiction surveys for cross‑border memos, and always validate citations and reasoning before filing (Lexis+ AI's multi‑model, private workspaces help on the security side).
For quick product overviews see Lexis+ AI's features and litigation analytics and a head‑to‑head on Westlaw vs Lexis+ AI, and consider Harvey when your matter needs contract‑scale analysis.
Tool | Ukraine‑relevant capability |
---|---|
Lexis+ AI | Protégé assistant, Shepard's citation checks, litigation analytics (judge/court timing & damages), jurisdictional surveys |
Westlaw Precision | KeyCite verification, AI jurisdictional surveys and AI‑assisted search for precedents |
Harvey AI | Contract analysis and multi‑jurisdictional research for large due‑diligence workloads |
“Switching from Westlaw to LexisNexis saved our team over 20 hours each month.”
HyperStart CLM / Spellbook / ClauseBase - AI-powered contract lifecycle management
(Up)AI‑powered contract lifecycle management (CLM) tools - think HyperStart CLM, Spellbook or ClauseBase as category examples - are rapidly turning contract backlog into a strategic asset for Ukrainian teams by combining classic CLM functionality (templates, version control, collaboration, alerts and audit trails) with playbook‑driven redlining and automated clause extraction from source documents (Thomson Reuters contract lifecycle management overview).
Benchmarks show the payoff is tangible: AI playbooks can cut review cycle times by 45–90% and lower costs roughly one‑third while turning multi‑day first drafts into hours, so routine redlines stop eating scarce lawyer time and compliance controls stay auditable (Sirion AI playbook‑driven redlining benchmarks).
Practical adoption in Ukraine should pair these efficiency gains with Microsoft 365/SharePoint integration and local guidance - see the Nucamp Complete Guide and IT Ukraine advice - to preserve client confidentiality, enforce firm playbooks and keep a human reviewer where it matters most (Nucamp AI Essentials for Work syllabus - Complete Guide to Using AI in Ukraine (2025)).
Metric | Benchmark |
---|---|
Contract review cycle‑time reduction | 45–90% (AI playbook vs manual) |
Cost reduction | ~33% (reported across implementations) |
Time to first draft | From days to hours (80–90% reduction in some benchmarks) |
DeepL Translate + DeepL Write - translation and tone polishing for Ukrainian-English work
(Up)DeepL Translate combined with DeepL Write makes Ukrainian↔English work far more practical for Ukraine's legal teams: the engine supports document uploads (PDF, DOCX, PPTX) and preserves formatting while its neural models produce natural, context‑aware output - benchmarks show Ukrainian PDFs processed about 40% faster than traditional OCR workflows and DeepL's Language AI is consistently rated more accurate and preferred in head‑to‑head tests - so a bilingual memo or first‑draft filing can be produced and tone‑polished in one streamlined pass before lawyer review.
DeepL Write adds business‑grade tone and style controls that help match formal court or client voice, DeepL Pro and the API give firms the controls and security options needed for sensitive files, and integration into document systems speeds repeatable workflows; nevertheless, human post‑editing and validation remain essential for citations, legal nuance and privileged material.
For comparative accuracy and Ukrainian‑specific performance see the Ukrainian→English analysis and DeepL's product overview and quality claims for enterprise users.
Capability | Why it matters for Ukrainian legal teams |
---|---|
Document translation (PDF/DOCX) | Preserves formatting and handles large filings; Ukrainian PDFs processed ~40% faster vs traditional OCR |
DeepL Write (tone & style) | Polishes register for court filings, client letters and bilingual memos |
Pro & API | Enterprise security, integration and scalable workflows for firm systems |
Accuracy & productivity | High accuracy ratings and reported time reductions (benchmarks show large edits and time savings) |
“[...] our linguists really enjoy working with DeepL-powered translations because the superior translation quality [...] means a much easier post-editing process.” - Christian Svendsen, CEO, 24Translate
HAPP AI - Ukrainian conversational lead conversion and client engagement
(Up)HAPP is a home‑grown Ukrainian B2B SaaS that turns phone contact into an automated, human‑like “voice front office” - it answers inbound calls, handles routine questions and bookings, hands off to a human when needed, and plugs into CRMs so client data and follow‑ups stay in one place, which can dramatically cut missed leads for busy practices; the team even built the first prototype with a GSM module to talk directly to local telecom providers before moving to IP telephony, a practical sign that the product is built for Ukrainian infrastructure and privacy realities (Vector Media article: Reshaping communication in the service industry - HAPP).
For legal teams, HAPP's call‑handling and CRM integration map cleanly to intake, triage and appointment scheduling workflows while following lead‑conversion best practices like fast follow‑up and CRM integration (AgileCRM guide to lead conversion best practices), and the startup is explicitly moving toward localised, private server models to give firms more control over sensitive client conversations (see Nucamp's guidance on privacy and adoption for Ukrainian lawyers).
With pricing tiers that scale from small businesses to corporate integrations and a roadmap to run models on local servers, HAPP is worth watching for teams that need reliable, phone‑first client engagement without expanding headcount.
Plan | Monthly price (USD) |
---|---|
Basic | $200 (voice AI + call analytics) |
Extended | $500 (personalisation, training, reports) |
Enterprise / Custom | $1000+ (CRM/ERP integrations, API, custom scenarios) |
“Our long-term goal is to build a truly autonomous voice assistant that's independent from outside providers, runs on companies' own infrastructure, and provides complete data privacy and command.”
Everlaw / Relativity / CS Disco - eDiscovery and large-scale litigation platforms
(Up)When cross‑border discovery turns into terabytes of mixed‑language files, Ukrainian legal teams need platforms that scale, explain and secure - and Everlaw, Relativity and peers are designed for exactly that.
Everlaw's cloud‑native stack advertises blazing ingestion and review (up to 900K docs/hour), fast native A/V transcription, built‑in generative tools and automatic foreign‑language detection across 135+ languages, which helps turn messy corpora into timelines and source‑anchored summaries fast (see Everlaw's product overview).
For matters where data residency or EU‑aligned controls matter, Relativity's Azure‑based RelativityOne plus its on‑premise options remain attractive for organisations that prefer local hosting or hybrid deployments, a point highlighted in head‑to‑head comparisons that firms often weigh when mapping security to local regulation.
Smaller or specialist archiving vendors add regional data‑residency and geofencing options for stricter compliance. Evaluate on processing speed, language support, auditability and deployment model so the platform speeds review without creating avoidable privacy risk or provenance gaps - imagine turning a week of manual culling into a verified, source‑linked narrative before the next coffee break.
Tool | Deployment & Security | Notable Ukraine‑relevant strength |
---|---|---|
Everlaw | Cloud‑native; SOC 2, FedRAMP, ISO certifications | Up to 900K docs/hr, 135+ language detection, generative AI assistant |
Relativity (RelativityOne) | Azure cloud + hybrid/on‑prem options; Calder7 security team | Highly customizable workflows and on‑prem path for stricter data‑protection needs |
Jatheon / archiving vendors | AWS‑based with regional geofencing & residency | Archiving + ediscovery with strong regional data‑residency controls |
“The Everlaw UI is (almost) as intuitive as Apple's products.”
Smith.ai / LawDroid - client intake, virtual receptionists and automation
(Up)Smith.ai and LawDroid sit at different points on the intake spectrum that matter for Ukrainian practices building reliable, auditable front offices: Smith.ai pairs 24/7 hybrid answering (AI-first plus trained human receptionists) with deep CRM integrations and instant call summaries, so firms capture off‑hour leads, schedule consultations and even collect payments without hiring a full‑time receptionist - plans start from about $95/month for AI receptionist tiers and $292.50/month for AI‑enhanced human support - while LawDroid offers an affordable, self‑serve conversational AI that shines for automated conflict checks, smart routing and document generation but generally lacks full phone answering or live hand‑offs.
Pick Smith.ai for immediate, human‑backed coverage and tight Clio/MyCase/Salesforce workflows; consider LawDroid when customization, low entry cost and chat/automation‑first flows are a priority.
Learn more in Smith.ai's legal offering for law firms and this comparison of top AI answering services for law firms.
Tool | Key offering | Starting price |
---|---|---|
Smith.ai | 24/7 hybrid AI + human receptionists, lead screening, CRM integrations, call summaries, bilingual (English/Spanish) | $95/month (AI receptionist); $292.50/month (AI‑enhanced human plans) |
LawDroid | Self‑serve conversational AI, conflict checks, routing, document automation (web‑first) | $25/month (entry-level AI assistant) |
“Smith.ai is a plug-and-play intake process and a built-in sales machine.” - Gyi Tsakalakis, AttorneySync
Conclusion - Getting started: priorities, integration and human oversight
(Up)Getting started in Ukraine means setting clear, practical priorities: lock down compliance and data residency first (nearly half of executives cite compliance as the main barrier to adoption), design integrations that push AI into familiar apps like Word and Excel, and build human‑in‑the‑loop checks so every output is reviewed before filing; for concrete steps, consult the AEI briefing: human friction and compliance in AI adoption and use Microsoft's Microsoft Office integration tutorial for Dynamics 365 (Copilot and document workflows) to map Copilot and document workflows into firm systems.
Prioritise quick wins that protect clients - automated redlines, anonymisation, and auditable logs - while investing in people through practical courses like Nucamp's Nucamp AI Essentials for Work bootcamp syllabus so teams can turn a 10,000‑character filing into a concise bilingual executive summary and still apply firm playbooks before submission.
Start small, measure ROI, harden privacy controls, and make oversight non‑negotiable: the fastest path to value is a controlled rollout that ties each tool to a clear compliance checklist and a named human reviewer.
Priority | Why it matters |
---|---|
Compliance & Governance | Top barrier to adoption; reduces legal and reputational risk |
Integration & Data Readiness | Ensures AI lives in daily workflows (Word/Excel) and uses clean sources |
Human Oversight & Training | Builds trust, catches model errors, and scales adoption |
“Change is the law of life. And those who look only to the past or present are certain to miss the future.” – John F. Kennedy
Frequently Asked Questions
(Up)Why does AI matter for legal professionals in Ukraine in 2025?
Generative AI has moved from novelty into daily workflows: surveys show personal use rising to 31% in 2024 (law firm use ~21%) and many practitioners expect AI to affect their jobs (74% in one report). Users report saving roughly 1–5 hours per week on drafting and routine tasks. For Ukrainian lawyers this translates into faster bilingual drafting (Ukrainian↔English), smarter discovery, and new compliance work as EU‑style rules and national guidance reshape IP, privacy and disclosure practice.
How were the 'Top 10' AI tools selected for Ukrainian legal teams?
Selection prioritized tools Ukrainian teams can safely adopt and scale into EU‑aligned practice. Each candidate was screened for compliance with Ukraine's National AI Strategy and guidance, mapped to EU risk‑based rules and rollout timelines, and evaluated for courtroom/registry readiness (e.g., handling the Unified State Register of Court Decisions). Key criteria included human‑in‑the‑loop controls, auditable logs and transparency, the ability to disable high‑risk modules or localize models, strong data‑security and residency options, multilingual support, and compatibility with impact‑assessment (HUDERIA) practices.
Which categories of AI tools should Ukrainian legal teams consider and what are notable examples?
Recommendable categories and examples: 1) Secure drafting/contract assistants (LegalFly) for auto‑redlining and anonymisation; 2) Versatile drafting/multilingual assistants (ChatGPT GPT‑4o, Ukraine's Neural Writer); 3) App‑embedded copilots (Microsoft Copilot for 365) for Word/Excel/Teams workflows; 4) Research & litigation analytics (CoCounsel/Casetext, Lexis+ AI, Westlaw, Harvey); 5) AI CLM and clause tools (HyperStart CLM, Spellbook, ClauseBase); 6) Translation/tone tools (DeepL Translate + DeepL Write); 7) Local engagement & telephony (HAPP); 8) eDiscovery platforms (Everlaw, Relativity); 9) Intake/virtual receptionists (Smith.ai, LawDroid). Each category speeds routine work but requires human verification, playbook controls and data protections before filing.
What compliance, security and operational safeguards should firms enforce when adopting AI?
Prioritise compliance and data residency first - nearly half of executives cite compliance as a main barrier. Require: named human reviewers for all outputs (human‑in‑the‑loop), auditable logs and traceability, ability to disable high‑risk modules, enterprise security (encryption, access controls), and local hosting or geo‑fencing where needed. Map tools to firm playbooks, preserve version control, and align procurement with Ukraine's AI strategy and EU AI Act obligations.
How should a Ukrainian firm get started to capture AI value safely?
Start small and measurable: 1) Lock down compliance & data residency requirements; 2) Integrate AI into familiar apps (Word/Excel/Teams) to reduce training friction; 3) Pilot tools on low‑risk, high‑ROI tasks (automated redlines, anonymisation, clause extraction); 4) Assign named human reviewers and require audit logs; 5) Measure ROI (time saved, cycle‑time reduction) and scale successful pilots. Invest in training (e.g., practical courses) and update firm policies to keep oversight non‑negotiable.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible