Top 10 AI Tools Every Legal Professional in Finland Should Know in 2025

For Finnish legal professionals in 2025, AI is no longer an abstract trend but a practical mandate: Finland is actively aligning with the EU AI Act and building national frameworks that push AI into both public services and private practice, so lawyers must balance opportunity and risk now rather than later (see Chambers' Artificial Intelligence 2025 - Finland guide).

With government pilots, planned regulatory sandboxes to ease compliant testing across the EU, and firms like Borenius and tools such as Legora already reshaping workflows, the challenge is twofold - learn to use AI for faster research and contract work, and master procurement, bias audits and GDPR-safe data practices.

Upskilling is essential; consider focused training such as Nucamp AI Essentials for Work bootcamp to translate regulation into safe, efficient legal practice while keeping sight of sandbox timelines and liability rules (EU AI Act national regulatory sandbox approaches overview).

“The legal profession has remained largely unaffected by new technology for several decades and was overdue for a shake-up.” - Laura Hodgson, Generative AI Lead at Linklaters (LexisNexis)

Selection began with hard, Finland‑specific guardrails: each candidate had to demonstrably support GDPR principles (accountability, data minimisation, purpose limitation), practical security measures from Article 32 and the 72‑hour breach‑notification workflow, and features that make a data‑processing inventory or DPIA feasible for high‑risk AI use‑cases - criteria drawn from the GDPR compliance checklist for Finland.

Tools were then screened for explicit alignment with national law and supervision (local DPO workflows, contract clauses for processors, and transfer safeguards such as SCCs) using Finland's legal framework as the benchmark (Overview of data protection laws in Finland).

Finally, because the Finnish supervisory authority has issued AI guidance on assessing privacy risks and lawful bases for training data, the evaluation included an AI‑specific audit trail, DPIA triggers and user notices to satisfy the Ombudsman's expectations - see the Finnish supervisory authority guidance on data protection in AI systems.

The result: a shortlist of tools that don't just automate work, but can be adopted without undermining Finnish compliance duties.

Casetext's CoCounsel - now folded into Thomson Reuters' lineup - feels like “Della Street on steroids”: a single AI assistant that moves Finnish practice from slogging through piles of documents to focused, verifiable work by combining research, drafting and document analysis in one workflow.

For GDPR‑aware firms this matters: CoCounsel is tied to Westlaw and Practical Law content, offers Microsoft 365 and DMS integrations, and vendors describe enterprise‑grade protections and contractual limits on partner access so customer queries aren't used to train third‑party models - features that help when mapping AI use to Finnish supervision and data‑processing obligations (see the Thomson Reuters CoCounsel product details and integrations).

Practically, it accelerates litigation and transactional tasks - Deep Research and agentic workflows produce multistep research plans, contract extraction and clause checks, and automated summaries that can turn hours of review into minutes - backed by supplier metrics like 2.6x speed and high user discovery rates.

Small firms and in‑house teams should weigh setup complexity and verify the security terms, but for high‑volume review or rapid memo drafting CoCounsel is a law‑focused option worth piloting in a controlled, GDPR‑compliant workflow (see an independent CoCounsel review for context).

“A task that would previously have taken an hour was completed in five minutes or less.” - Jarret Colemen, General Counsel at Century Communities

ChatGPT can speed legal drafting and client triage but in Finland - where GDPR and the upcoming EU AI Act are front of mind - its use requires careful limits: the free ChatGPT 3.5/4 versions do not come with a Data Processing Agreement and may use prompts for model training, so avoid entering personal data (even an author name on an uploaded invoice can create a GDPR problem), or use strict pseudonymisation and staff training as a baseline (see Guide to configuring ChatGPT for GDPR compliance).

Better options for regulated work are the ChatGPT API or Enterprise editions, which offer a DPA, technical safeguards and explicit “no training on customer data” commitments, but still need a DPO review, DPIA and attention to third‑country transfer safeguards such as SCCs or the contractual arrangements OpenAI provides for EEA users; supervisory bodies and the EDPB ChatGPT task force have already signalled intense scrutiny of web‑scraped training data, lawfulness, transparency and data‑subject rights (see the EDPB ChatGPT task force overview).

In short: pilot in a controlled workflow, prefer Enterprise/API with contractual protections, document a DPIA and retention rules, and treat explainability, minimisation and audit logs as non‑negotiable controls - those measures turn ChatGPT from a compliance headache into a usable assistant for Finnish practice (see a concise DPIA primer for AI projects).

Disclaimer: the information in this article is provided for informational purposes only. You should not construe any such information as legal, tax, investment, trading, financial, or other advice. by Kostiantyn Ponomarov, CIPP/E Former Data Protection Specialist @ Legal Nodes

Claude from Anthropic is a practical choice for Finnish legal teams that need reliable multilingual drafting and large‑document analysis: Anthropic's multilingual support shows strong zero‑shot performance across many languages and notes that Claude processes

most world languages that use standard Unicode characters,

so testing it with Finnish workflows is advised (Anthropic multilingual support documentation).

Equally important for contract review and discovery is Claude's extended context window - Claude 3 models support a 200K‑token context - so whole contract bundles and evidence sets can be kept in prompt scope if structured correctly; Anthropic long-context prompting guide recommends placing long documents at the top, using XML tags for sources, and asking Claude to quote relevant passages first to reduce noise.

For GDPR‑conscious pilots, pair these capabilities with strict prompt hygiene and clear language prompts; for example, use the prompt:

output in Finnish, idiomatic register

so the model's multilingual fluency and quote‑first grounding translate into usable, auditable outputs rather than opaque summaries.

Microsoft Copilot for Microsoft 365 is rapidly becoming the practical backbone for Finnish law firms that already live in Word, Outlook and Teams: three‑quarters of global knowledge workers now use Copilot and over 80% report time savings, and partners like LexisNexis are embedding legal content and DMS connectivity directly into Copilot and Teams to bring jurisdiction‑aware drafting and research into familiar apps (see the Microsoft partner write‑up on Microsoft Copilot and LexisNexis integration for ISVs and LexisNexis' Protégé for Microsoft 365 Copilot).

Practical gains show up fast - Copilot now summarizes long operating agreements end‑to‑end rather than stalling after the first few articles - so it can feel like a tireless paralegal that turns a 16‑page review into an article‑by‑article brief.

Finnish practices should pair that speed with governance: use Microsoft Purview, Entra ID and related controls, run DPIAs, and invest in prompt training and retention rules recommended in PwC's Copilot guidance to keep GDPR, DMS security and auditability intact (PwC guidance on Copilot for Microsoft 365 governance).

Expect continued improvement, but pilot with clear policies - speed without provable controls is where compliance risk lives.

"As a provider of intelligent solutions that leverage AI, as well as our vast collection of legal content, we want to be where our customers are working," - Serena Wellen, Vice President of Product Management at LexisNexis

Relativity sits on the short list of heavyweight e‑discovery platforms often mentioned alongside Everlaw, Nuix and Brainspace/Reveal for analytics‑driven review, and Finnish firms thinking about modern discovery should treat it as a serious option when building an EDRM‑based workflow that respects GDPR, legal holds and cross‑border defensibility.

Use Relativity (or a comparable platform) to lock in the fundamentals - early case assessment, defensible preservation and targeted collection - then layer analytics, Technology‑Assisted Review and multi‑tiered QC so terabytes of “inbox noise” become a focused, auditable set of leads; analytics‑driven strategies routinely cut review volumes by 30–50% and make privilege logging and production far easier (see Everlaw's eDiscovery best practices and a 2025 document‑review playbook for practical steps).

For Finnish practice that means documenting every collection and processing choice, mapping transfer and retention rules, and piloting TAR on low‑risk matters first so speed gains (and measurable cost reductions) arrive without trading away auditability or client confidentiality.

Spellbook is a lightweight, lawyer‑friendly way to bring AI straight into Microsoft Word - ideal for Finnish transactional teams who already draft and redline in Word and want suggestions, risk flags and quick clause swaps without leaving their familiar workflow; as the MyCase roundup notes,

Spellbook “layers AI onto Microsoft Word” to suggest language, highlight risky terms and answer contract questions, making it a handy assistant for solos and small firms.

(MyCase 2025 guide to AI for legal contracts featuring Spellbook) In Finland's GDPR‑focused environment, Spellbook's convenience should be paired with firm controls: use it for first drafts and low‑risk redlines, enforce prompt hygiene and retention rules, and integrate it into a documented DPIA or pilot so confidentiality and transfer safeguards stay intact - best practice echoed by Word‑centric redlining tools like LegalOn's AI Revise add‑in for in‑Word redlines (LegalOn AI Revise in‑Word redlining guide).

Treated as a fast, auditable junior‑assistant rather than an autopilot, Spellbook can cut mundane drafting time while leaving the legal judgment where it belongs.

Diligen brings fast, lawyer‑friendly contract analysis to Finnish teams that need reliable, auditable review at scale: its machine‑learning engine identifies hundreds of key provisions, colour‑codes clauses and places an AI‑generated summary alongside the original document so reviewers can jump to the right passage in one click - an approach reviewers say can cut review time by roughly 50% on many projects (due diligence, lease review, NDAs and privacy checks).

Outputs flow straight to Word or Excel for seamlessfiled reporting, and the platform is built to learn quickly from a few examples so new clause types are recognisable without months of tuning; organisations that prefer tighter control can take advantage of on‑prem deployment and integrations with common stacks.

For Finnish practice, Diligen's strengths - rapid clause extraction, pre‑trained libraries and scalable project management - make it a practical option to pair with DPIAs, retention rules and prompt hygiene when mapping contract review workflows to GDPR and national supervisory expectations.

See Diligen contract analysis product details and demo, or review the Clio Diligen integration page for Word/Clio workflow.

Clearbrief stitches legal-grade evidence and citation checking into the place Finnish lawyers already live - Microsoft Word - making it an attractive option for litigators and in‑house teams who must prove every factual claim under GDPR‑aware supervision; the platform offers clickable, verifiable citations and AI‑powered fact‑checking (with a LexisNexis connection to flag hallucinations) so a scattered pile of exhibits becomes a clickable evidence map you can share with a judge or client.

Enterprise controls matter in Finland: Clearbrief advertises SOC 2 Type II controls, Bring‑Your‑Own‑Storage so files stay in your cloud, and tailored training and confidentiality for firms that need defensible workflows.

The vendor claims real productivity gains - about seven hours saved per week and 124,980+ pleadings checked since launch - and simple pricing tiers (solo teams or enterprise) make pilots feasible for small Helsinki practices or larger Nordic teams.

Explore Clearbrief demo and product details, and read how citation validation is becoming central to trusted legal AI via LexisNexis Shepard's citation validation enhancements.

“The amount of time that Clearbrief saves me is unbelievable. I write the facts without citations, launch Clearbrief, and it pulls in the citations from my source documents.” - Joel Pratt, Law Office of Dailey & Pratt

Legora - already flagged earlier as one of the tools reshaping Finnish workflows - belongs in the same strategic playbook as a firm's knowledge‑management efforts: treat it as part of a governed ecosystem, not a standalone shortcut.

Finnish firms that get this right pair AI with human curation - Borenius Knowledge Management Trainees program and Castrén & Snellman Knowledge Management Trainees program show how KM trainees and central repositories supply reliable, searchable precedents and legislative updates that keep AI outputs grounded.

Practical KM rules - one repository, strict access controls, retention and prompt hygiene, and measurable reuse metrics - turn tools into productivity multipliers rather than compliance headaches; as KM experts note, AI-enabled knowledge management for small firms demonstrates that AI‑enabled systems only scale when people and process are in place.

Picture a junior trainee surfacing the exact clause needed in under a minute instead of an hour - that's the so what that makes a pilot worth running. Evaluate Legora against those same governance, adoption and ROI criteria before broad deployment.

Smith.ai offers Finnish firms a practical way to stop losing prospects to voicemail by combining live receptionists with an AI‑powered chatbot that screens callers, books appointments and pushes qualified leads into a CRM - an attractive 24/7 intake option for solos and small teams that want enterprise‑style responsiveness without hiring more staff (pricing starts around $285/month).

Its customizable scripts and out‑of‑the‑box integrations (including common CRMs and Clio) make it easy to automate lead capture while preserving a human handoff for sensitive matters - see the Smith.ai write‑up in our roundup of legal AI tools and why AI intake matters for small firms (Smith.ai virtual receptionist and AI chatbot for law firms); pair any rollout with firm‑level GDPR controls, retention rules and prompt hygiene recommended for legal intake automation so that after‑hours convenience doesn't trade away client confidentiality (Clio guide to AI for small law firms: 24/7 client intake and lead qualification).

For busy Helsinki practices, that mix of immediacy and governance can mean the difference between a missed call and a retained client.

Start small, document everything, and treat compliance as part of the pilot: Finnish firms should map processing activities against GDPR and the national Data Protection Act, involve the Office of the Data Protection Ombudsman where needed, appoint or consult a DPO for complex or large‑scale AI processing, and run a DPIA before any production rollout (see DLA Piper's clear overview of data protection laws in Finland).

Pair that baseline with AI‑specific steps from the Chambers AI guide - classify systems by risk, insist on contractual safeguards and transfer mechanisms when procuring AI, and bake bias audits and explainability requirements into supplier contracts so liability and transparency are addressed up front.

Practically, pilot one workflow (e.g., contract review or intake), require written human sign‑off and an auditable retention rule, and upskill the team so prompts and outputs are defensible; the payoff can be dramatic - imagine turning an hour of review into a minute‑long, auditable sprint when governance and prompts are right.

For hands‑on training that bridges regulation and practice, consider a focused course like Nucamp's AI Essentials for Work to build prompt skills, DPIA know‑how and practical AI governance in 15 weeks.